search_docs
Search the devrel.directory unified index of documentation guides, blog posts, directory listings, jobs, and events (including which have an open call for papers). Returns matching results with absolute devrel.directory URLs; event results deep-link to the specific event on the events page.
This record as markdown: /tools/directory-devrel-devrel-directory/search-docs.md
What search_docs does on DevRel Directory
AI agents call search_docs to retrieve information from DevRel Directory without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Yes | The search query. |
Parameters from the server's own tool schema.
Why search_docs is rated Low
Even though search_docs only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs search_docs safely
PolicyLayer is an MCP gateway: it sits between your AI agents and DevRel Directory, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_docs, this is the rule to start with:
search_docs 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 DevRel Directory, apply this rule, and every search_docs call is checked against it from then on.
Questions about search_docs
Search the devrel.directory unified index of documentation guides, blog posts, directory listings, jobs, and events (including which have an open call for papers). Returns matching results with absolute devrel.directory URLs; event results deep-link to the specific event on the events page. It is categorised as a Read tool in the DevRel Directory MCP Server, which means it retrieves data without modifying state.
search_docs accepts 1 parameter: query. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the DevRel Directory MCP server in PolicyLayer and add a rule for search_docs: 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 DevRel Directory. Nothing to install.
search_docs 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 search_docs 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 search_docs. 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.
search_docs is provided by the DevRel Directory MCP server (https://devrel.directory/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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