search_api

search_api

Server OpenReview Python MCP Server openreview/openreview-mcp
Category Read
Risk class Low
Parameters 00 required

What search_api does on OpenReview Python MCP Server

AI agents call search_api to retrieve information from OpenReview Python MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why search_api needs a policy

This tool searches API documentation and metadata only. It retrieves information about the openreview-py library structure without side effects, code execution, or external API interactions. This is a Read operation—it queries and returns data for discovery purposes.

From the tool's definition Tool name is 'search_api' and server description states it provides 'tools for searching the API and retrieving detailed metadata without executing code or making external API calls.' The sibling tools (get_best_practices, get_method_signature,…

Questions about search_api

What does the search_api tool do? +

search_api. It is categorised as a Read tool in the OpenReview Python MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_api? +

Register the OpenReview Python MCP Server MCP server in PolicyLayer and add a rule for search_api: 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 OpenReview Python MCP Server. Nothing to install.

What risk level is search_api? +

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

Can I rate-limit search_api? +

Yes. Add a rate_limit block to the search_api 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 search_api completely? +

Set action: deny in the PolicyLayer policy for search_api. 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 search_api? +

search_api is provided by the OpenReview Python MCP Server MCP server (openreview/openreview-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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