search_posts

Search posts by title or content

Server MCP Python Tutorial jhj0517/mcp-python-tutorial
Category Read
Risk class Low
Parameters 00 required

What search_posts does on MCP Python Tutorial

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

Why search_posts needs a policy

This tool performs a search/query operation on posts. It retrieves information matching specified criteria (title or content) but does not create, modify, delete, or execute external operations. It is a straightforward Read operation with minimal security risk, suitable for an informational query in a tutorial MCP server.

From the tool's definition Tool name 'search_posts' and description 'Search posts by title or content' indicate a query operation that retrieves data without modification or side effects.

Questions about search_posts

What does the search_posts tool do? +

Search posts by title or content. It is categorised as a Read tool in the MCP Python Tutorial MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_posts? +

Register the MCP Python Tutorial MCP server in PolicyLayer and add a rule for search_posts: 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 MCP Python Tutorial. Nothing to install.

What risk level is search_posts? +

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

Can I rate-limit search_posts? +

Yes. Add a rate_limit block to the search_posts 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_posts completely? +

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

search_posts is provided by the MCP Python Tutorial MCP server (jhj0517/mcp-python-tutorial). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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