Search notes by content.
AI agents call crow_search_notes to retrieve information from Crow without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool searches and retrieves note content without creating, modifying, deleting, or executing any operations. It is a straightforward read-only query function that returns matching notes based on search criteria. The blast radius of misuse is minimal—an AI agent could retrieve notes it shouldn't see, but cannot alter or destroy data or trigger external actions.
From the tool's definition Tool name 'crow_search_notes' and description 'Search notes by content' indicate a query/retrieval operation with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access crow_search_notes gives an agent:
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_search_notes:
{
"version": "1",
"default": "deny",
"tools": {
"crow_search_notes": {}
}
} crow_search_notes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search notes by content. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.
Register the Crow MCP server in PolicyLayer and add a rule for crow_search_notes: 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.
crow_search_notes is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the crow_search_notes 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.
Set action: deny in the PolicyLayer policy for crow_search_notes. 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.
crow_search_notes 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.
Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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576 Crow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.