Discover available actions and their parameter schemas. No args = list categories. category = list actions. category + action = full schema.
AI agents call crow_discover 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.
The tool is purely informational, querying and returning metadata about available actions and their schemas. It does not execute any actions, modify data, delete anything, or trigger external operations. This is a straightforward Read operation with minimal risk if misused—an AI agent can only discover what actions exist, not invoke them.
From the tool's definition Tool description states it "Discover[s] available actions and their parameter schemas" with "No args = list categories", "category = list actions", and "category + action = full schema".
Documented attack patterns abuse exactly the kind of access crow_discover 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_discover:
{
"version": "1",
"default": "deny",
"tools": {
"crow_discover": {}
}
} crow_discover is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Discover available actions and their parameter schemas. No args = list categories. category = list actions. category + action = full schema. 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_discover: 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_discover 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_discover 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_discover. 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_discover 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.