Agent Runtime Tools

A complete guide to the tools that Crawbl agents can call. Covers every implemented tool, how tools are executed, which agents have access to which tools, and how tool usage connects to billing. Written for engineers who have not worked with the agent runtime before.

Chapter 1: What Are Tools?

Tools give agents the ability to act

An AI agent without tools can only generate text. Tools let agents do things — search the web, read files, save memories, send notifications, and more.

When a user sends a message, the agent's LLM decides which tools to call based on the conversation. The agent runtime executes the tool, returns the result to the LLM, and the LLM uses that result to compose its response.

к сведению

Think of tools like apps on a phone. The phone (LLM) is capable on its own, but apps (tools) let it interact with the outside world — look things up, store data, send messages.

The tool catalog

Crawbl maintains a seed catalog of all tools at migrations/orchestrator/seed/tools.json. This single file is the source of truth for:

The mobile app's integrations screen
The /v1/integrations API response
The LLM's tool schema (descriptions the model sees)

Each tool has a name, display name, description, category, icon, and an implemented flag. Tools with implemented: false exist in the catalog for future phases but return a "not implemented" error if called.

Chapter 2: Two Types of Tool Execution

Tools execute in one of two ways depending on where their logic lives.

Local tools — executed in the runtime process

These tools run directly inside the agent runtime pod. They make HTTP calls or access cloud storage without going through the orchestrator.

Agent LLM → tool call → Agent Runtime (Go process) → external service
                                                    ↓
                                              result back to LLM

Current local tools:

Tool	What it does	External service
`web_fetch`	Fetches and extracts article text from a URL	Target website
`web_search_tool`	Searches the internet via meta-search	SearXNG (in-cluster)
`file_read`	Reads a file from workspace storage	DigitalOcean Spaces
`file_write`	Writes a file to workspace storage	DigitalOcean Spaces

MCP tools — forwarded to the orchestrator

These tools are forwarded to the orchestrator's MCP (Model Context Protocol) server over HTTP. The runtime discovers them dynamically — no tool names are hardcoded in the runtime.

Agent LLM → tool call → Agent Runtime → HMAC-signed HTTP → Orchestrator MCP Server
                                                                    ↓
                                                              execute + return

MCP tools include:

Prefix	Category	Examples
`memory_*`	Memory Palace	`memory_search`, `memory_add_drawer`, `memory_kg_query`
`orchestrator__*`	Platform services	`send_push_notification`, `get_user_profile`, `create_artifact`

подсказка

Memory Palace tools are documented in detail in the Memory Palace Guide. This page focuses on the tool system itself, not individual memory tool semantics.

How MCP tools are secured

Every MCP request from the runtime to the orchestrator is signed with an HMAC bearer token. The token is generated per-request from:

A shared signing key (CRAWBL_MCP_SIGNING_KEY)
The user ID
The workspace ID

The orchestrator verifies the signature before executing any tool. This prevents one runtime pod from calling tools on behalf of another workspace.

Chapter 3: The Tool Builder System

How tools are constructed

Tools are built once when the agent runtime pod starts, then shared across all agents in the pod. The construction happens in internal/agentruntime/tools/builders.go.

// main.go builds this once per pod
deps := tools.CommonToolDeps{
    WorkspaceID:     cfg.WorkspaceID,
    SearXNGEndpoint: cfg.SearXNGEndpoint,
    Spaces:          spacesClient,  // may be nil
}

localTools, err := tools.BuildCommonTools(deps)

Key design rules:

Tool names come from constants in catalog.go — no string literals in builders
Descriptions come from tools.json — one source of truth for mobile, API, and LLM
Workspace scoping is closure-captured — agents cannot target other workspaces through tool arguments
Optional tools degrade gracefully — if DigitalOcean Spaces is not configured, file tools are silently skipped; the rest of the tool set still works

Adding a new tool

To add a new local tool:

Add the tool entry to migrations/orchestrator/seed/tools.json with implemented: true
Add a Tool* constant in catalog.go
Add argument and result structs in builders.go
Write the handler in tools/local/
Register it in BuildCommonTools()

The buildFunctionTool() helper handles description lookup, error wrapping, and ADK registration in one call.

Chapter 4: Implemented Tools in Detail

web_fetch — Read a webpage

Fetches a URL via HTTP GET and extracts the article text using the Mozilla Readability algorithm. Navigation, ads, scripts, and styles are stripped — only the main content is returned.

Parameter	Default	Max	Description
`url`	(required)	—	HTTP(S) URL to fetch
`max_bytes`	200 KB	—	Cap on response body size
`timeout_seconds`	10	60	Request timeout

Output cap: 30,000 characters (~7,500 tokens). Longer content is truncated with a marker.

Non-HTML content (JSON, plain text) is returned as-is without Readability processing.

web_search_tool — Search the internet

Queries the in-cluster SearXNG meta-search instance. SearXNG aggregates results from Google, Bing, DuckDuckGo, Brave, Qwant, Wikipedia, and Wikidata into a single deduplicated result set.

Parameter	Default	Max	Description
`query`	(required)	—	Free-text search query
`max_results`	5	15	Number of results to return

Each result contains:

{
  "title": "Example Page Title",
  "url": "https://example.com/page",
  "snippet": "A brief excerpt from the page content...",
  "engine": "google"
}

Timeout: 10 seconds. Response limit: 4 MiB.

к сведению

See the SearXNG infrastructure page for connection details, deployment info, and debugging instructions.

file_read — Read from workspace storage

Reads a file from the workspace's DigitalOcean Spaces bucket. Files are scoped by workspace — agents cannot read files from other workspaces.

Parameter	Description
`key`	Object key under the workspace, e.g. `uploads/trip.md`

Returns:

Field	Description
`key`	The requested key
`content`	File body — UTF-8 text or base64-encoded binary
`content_type`	MIME type (e.g., `text/plain`, `image/png`)
`encoding`	`"text"` or `"base64"`
`size_bytes`	File size

Text types (text/*, application/json, application/xml, application/yaml, application/javascript) are returned as UTF-8 strings. Everything else is base64-encoded to prevent LLM corruption.

file_write — Write to workspace storage

Writes a file to the workspace's DigitalOcean Spaces bucket.

Parameter	Default	Description
`key`	(required)	Object key, e.g. `drafts/email.md`
`content`	(required)	File body
`content_type`	`text/plain; charset=utf-8`	MIME type

Workspace scoping: The workspace prefix is prepended internally. Slashes in keys create a nested directory structure.

Chapter 5: Orchestrator MCP Tools

These tools are forwarded to the orchestrator and executed server-side. The agent runtime discovers them dynamically via the MCP ListTools endpoint.

Notification tools

Tool	Description
`orchestrator__send_push_notification`	Send a push notification to the user's mobile device

Context tools

Tool	Description
`orchestrator__get_user_profile`	Access the user's profile information and preferences
`orchestrator__get_workspace_info`	Get workspace details and agent list
`orchestrator__list_conversations`	List all conversations in the workspace
`orchestrator__search_past_messages`	Search through past conversation messages

Collaboration tools

Tool	Description
`orchestrator__create_agent_history`	Record a notable event in an agent's history log
`orchestrator__send_message_to_agent`	Send a message between agents for collaboration

Artifact tools

Tool	Description
`orchestrator__create_artifact`	Create a shared document or code artifact
`orchestrator__read_artifact`	Read a shared artifact created by any agent
`orchestrator__update_artifact`	Update a shared artifact with a new version
`orchestrator__review_artifact`	Review and approve or request changes on an artifact

Workflow tools

Tool	Description
`orchestrator__create_workflow`	Define a multi-step agent workflow
`orchestrator__trigger_workflow`	Trigger a defined workflow
`orchestrator__check_workflow_status`	Check the status of a running workflow
`orchestrator__list_workflows`	List all available workflows

Chapter 6: Agent Permissions

The three-agent architecture

The agent runtime runs three agents in a coordinator pattern:

Agent	Role	Tool access
Manager	Root coordinator — routes user messages via LLM-driven delegation	Full access: 20 tools including all memory, all orchestrator tools
Wally	Research specialist — handles web research, URL fetching, live queries	15 tools: web, files, memory (read-mostly), notifications, profiles
Eve	Scheduling specialist — handles time zones, date math, scheduling concepts	15 tools: same as Wally (cron tools not yet implemented)

How permissions work

Each agent has an allowed_tools list defined in migrations/orchestrator/seed/agents.json. When the agent runtime constructs an agent, only tools in this list are made available to the LLM.

Click diagram to zoom

warning

An empty allowed_tools array means all tools are available. A non-empty array restricts the agent to exactly those tools. This is intentional — Manager needs broad access, while sub-agents are scoped.

Workspace scoping

Every tool operation is scoped to the workspace that owns the agent runtime pod. This is enforced at two levels:

Local tools — the workspace ID is captured in a closure at construction time. Tool arguments never include a workspace ID field.
MCP tools — the HMAC token embeds the workspace ID. The orchestrator extracts it from the token, not from the request body.

Cross-workspace access is impossible by design.

Chapter 7: Tools and Billing

Every tool call that involves an LLM interaction consumes tokens. The billing system tracks this automatically.

What costs money

Action	Cost driver	Tracked by
Agent calls `web_search_tool`	LLM prompt + completion tokens (the search itself is free)	Usage pipeline
Agent calls `web_fetch`	LLM tokens to process the fetched content	Usage pipeline
Agent calls `file_read` / `file_write`	Storage I/O (no LLM cost)	Not metered currently
Agent calls `memory_search`	Embedding generation + LLM tokens	Usage pipeline
Agent calls any MCP tool	LLM tokens for the tool call + result processing	Usage pipeline

How usage flows to billing

Click diagram to zoom

к сведению

For the full billing pipeline walkthrough — including quota enforcement, monthly limits, cost calculation, and ClickHouse analytics — see the Billing, Usage & Cost Tracking guide.

Chapter 8: Real-World Examples

Example 1: Agent searches the web

A user asks "What's the latest news about Kubernetes 1.31?"

The Manager agent decides to use web_search_tool:

{
  "tool": "web_search_tool",
  "arguments": {
    "query": "Kubernetes 1.31 release news",
    "max_results": 5
  }
}

The runtime calls SearXNG internally:

GET http://searxng.backend.svc.cluster.local:8080/search?q=Kubernetes+1.31+release+news&format=json&safesearch=0&language=en

SearXNG aggregates results from Google, Bing, DuckDuckGo, and others, returning:

{
  "query": "Kubernetes 1.31 release news",
  "results": [
    {
      "title": "Kubernetes v1.31: Elli",
      "url": "https://kubernetes.io/blog/2024/08/13/kubernetes-v1-31-release/",
      "snippet": "Kubernetes v1.31 introduces several new features and improvements...",
      "engine": "google"
    },
    {
      "title": "What's new in Kubernetes 1.31",
      "url": "https://www.cncf.io/blog/...",
      "snippet": "The latest release brings 45 enhancements...",
      "engine": "bing"
    }
  ]
}

The LLM then uses these results to compose an informed response to the user.

Example 2: Agent reads a file and sends a notification

A user asks "Summarize my trip notes and notify me when done."

The Manager delegates to Wally, who calls two tools:

Step 1 — Read the file:

{
  "tool": "file_read",
  "arguments": {
    "key": "uploads/trip-notes.md"
  }
}

Returns:

{
  "key": "uploads/trip-notes.md",
  "content": "# Trip to Tokyo\n\nDay 1: Arrived at Narita...",
  "content_type": "text/markdown",
  "encoding": "text",
  "size_bytes": 4521
}

Step 2 — Send notification:

{
  "tool": "orchestrator__send_push_notification",
  "arguments": {
    "title": "Trip Summary Ready",
    "body": "Your Tokyo trip notes have been summarized. Check the conversation for details."
  }
}

This is forwarded to the orchestrator via HMAC-signed MCP, which delivers the push notification through Firebase Cloud Messaging.

Chapter 9: Quick Reference

Implemented tools summary

#	Tool	Category	Type	Status
1	`web_fetch`	search	local	Implemented
2	`web_search_tool`	search	local	Implemented
3	`file_read`	files	local	Implemented
4	`file_write`	files	local	Implemented
5–23	`memory_*` (19 tools)	memory	MCP	Implemented
24	`orchestrator__send_push_notification`	notification	MCP	Implemented
25–28	`orchestrator__get_`, `list_`, `search_*`	context	MCP	Implemented
29–30	`orchestrator__create_agent_history`, `send_message_to_agent`	integration	MCP	Implemented
31–34	`orchestrator__*_artifact`	integration	MCP	Implemented
35–38	`orchestrator__*_workflow`	integration	MCP	Implemented

Tool defaults and limits

Setting	Value
Web fetch default timeout	10 seconds
Web fetch max timeout	60 seconds
Web fetch default body limit	200 KB
Web fetch output cap	30,000 characters
Web search default results	5
Web search max results	15
Web search timeout	10 seconds
Web search response limit	4 MiB
SearXNG default endpoint	`http://searxng.backend.svc.cluster.local:8080`

Not yet implemented

These tools exist in the catalog but return "not implemented" errors:

Tool	Category	Future purpose
`http_request`	search	Make HTTP API calls to external services
`file_edit`	files	Edit existing files in-place
`glob_search`	files	Search files by name pattern
`content_search`	files	Search inside files for text
`cron_*` (6 tools)	scheduling	Create, manage, and run scheduled tasks
`calculator`	utility	Mathematical calculations
`weather`	utility	Weather information
`image_info`	utility	Image analysis
`shell`	shell	Shell command execution

Key source files

File	Purpose
`migrations/orchestrator/seed/tools.json`	Master tool catalog (59 tools)
`migrations/orchestrator/seed/tool_categories.json`	9 category definitions
`migrations/orchestrator/seed/agents.json`	Agent definitions with `allowed_tools`
`internal/agentruntime/tools/builders.go`	Tool construction and `CommonToolDeps`
`internal/agentruntime/tools/catalog.go`	Tool name constants
`internal/agentruntime/tools/local/`	Local tool implementations
`internal/agentruntime/tools/mcp/`	MCP bridge (client + HMAC transport)
`internal/agentruntime/config/defaults.go`	Default endpoints and env vars

Environment variables

Variable	Purpose	Required
`CRAWBL_WORKSPACE_ID`	Workspace this runtime serves	Yes
`CRAWBL_SEARXNG_ENDPOINT`	SearXNG meta-search URL	Yes
`CRAWBL_MCP_ENDPOINT`	Orchestrator MCP server URL	Yes
`CRAWBL_MCP_SIGNING_KEY`	HMAC signing secret for MCP	Yes
`CRAWBL_SPACES_ENDPOINT`	DigitalOcean Spaces endpoint	Optional
`CRAWBL_SPACES_REGION`	Spaces region (e.g., `fra1`)	Optional*
`CRAWBL_SPACES_BUCKET`	Spaces bucket name	Optional*
`CRAWBL_SPACES_ACCESS_KEY`	Spaces access key	Optional*
`CRAWBL_SPACES_SECRET_KEY`	Spaces secret key	Optional*

*If any Spaces variable is set, all five are required.

What's next: See the Memory Palace Guide for details on the 19 memory tools, the SearXNG infrastructure page for deployment details, or the Billing & Usage guide for the full cost tracking pipeline.

Chapter 1: What Are Tools?​

Tools give agents the ability to act​

The tool catalog​

Chapter 2: Two Types of Tool Execution​

Local tools — executed in the runtime process​

MCP tools — forwarded to the orchestrator​

How MCP tools are secured​

Chapter 3: The Tool Builder System​

How tools are constructed​

Adding a new tool​

Chapter 4: Implemented Tools in Detail​

web_fetch — Read a webpage​

web_search_tool — Search the internet​

file_read — Read from workspace storage​

file_write — Write to workspace storage​

Chapter 5: Orchestrator MCP Tools​

Notification tools​

Context tools​

Collaboration tools​

Artifact tools​

Workflow tools​

Chapter 6: Agent Permissions​

The three-agent architecture​

How permissions work​

Workspace scoping​

Chapter 7: Tools and Billing​

What costs money​

How usage flows to billing​

Chapter 8: Real-World Examples​

Example 1: Agent searches the web​

Example 2: Agent reads a file and sends a notification​

Chapter 9: Quick Reference​

Implemented tools summary​

Tool defaults and limits​

Not yet implemented​

Key source files​

Environment variables​

Chapter 1: What Are Tools?

Tools give agents the ability to act

The tool catalog

Chapter 2: Two Types of Tool Execution

Local tools — executed in the runtime process

MCP tools — forwarded to the orchestrator

How MCP tools are secured

Chapter 3: The Tool Builder System

How tools are constructed

Adding a new tool

Chapter 4: Implemented Tools in Detail

web_fetch — Read a webpage

web_search_tool — Search the internet

file_read — Read from workspace storage

file_write — Write to workspace storage

Chapter 5: Orchestrator MCP Tools

Notification tools

Context tools

Collaboration tools

Artifact tools

Workflow tools

Chapter 6: Agent Permissions

The three-agent architecture

How permissions work

Workspace scoping

Chapter 7: Tools and Billing

What costs money

How usage flows to billing

Chapter 8: Real-World Examples

Example 1: Agent searches the web

Example 2: Agent reads a file and sends a notification

Chapter 9: Quick Reference

Implemented tools summary

Tool defaults and limits

Not yet implemented

Key source files

Environment variables