crow_recall_by_context

THE RISK

Low Risk

Why crow_recall_by_context needs a policy

This tool performs read-only operations on stored memories using search functionality. It retrieves data based on context matching without creating, modifying, deleting, or executing any actions. The blast radius of misuse is minimal—an adversary could only discover what memories exist, not alter system state or cause irreversible harm.

From the tool's definition Tool description states 'Retrieve memories' and 'full-text search across content, context, and tags' — these are query/retrieval operations with no modification, deletion, or execution capabilities.

Documented attack patterns abuse exactly the kind of access crow_recall_by_context gives an agent:

POLICY

How to control crow_recall_by_context

PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for crow_recall_by_context:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "crow_recall_by_context": {}
  }
}

crow_recall_by_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Crow — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about crow_recall_by_context

What does the crow_recall_by_context tool do? +

Retrieve memories relevant to a given context. Uses full-text search across content, context, and tags. Memories tagged source=. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on crow_recall_by_context? +

Register the Crow MCP server in PolicyLayer and add a rule for crow_recall_by_context: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Crow. Nothing to install.

What risk level is crow_recall_by_context? +

crow_recall_by_context is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit crow_recall_by_context? +

Yes. Add a rate_limit block to the crow_recall_by_context rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block crow_recall_by_context completely? +

Set action: deny in the PolicyLayer policy for crow_recall_by_context. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides crow_recall_by_context? +

crow_recall_by_context is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Crow tool call.

Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →