pf_search
Search accounts / hashtags / statuses. Remote queries resolve via WebFinger. Rate-limited: 60/hour.
This record as markdown: /tools/kh0pper-crow/pf-search.md
What pf_search does on Crow
AI agents call pf_search to retrieve information from Crow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why pf_search is rated Low
This tool retrieves and queries data (accounts, hashtags, statuses) without creating, modifying, deleting, or executing side effects. It is a passive search operation with built-in rate limiting to prevent abuse. The blast radius of misuse is minimal—it can only expose already-public information or return no results.
From the tool's definition Tool name 'pf_search' and description 'Search accounts / hashtags / statuses' indicate data retrieval operations with no modification or deletion.
Attacks that exploit this kind of access
The rule that runs pf_search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pf_search, this is the rule to start with:
pf_search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Crow, apply this rule, and every pf_search call is checked against it from then on.
Questions about pf_search
Search accounts / hashtags / statuses. Remote queries resolve via WebFinger. Rate-limited: 60/hour. 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 pf_search: 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.
pf_search 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 pf_search 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 pf_search. 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.
pf_search 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.
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