api_status

Check which APIs are configured and available.

Server Content Research wjddusrb03/content-research-mcp
Category Read
Risk class Low
Parameters 00 required

What api_status does on Content Research

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

Why api_status needs a policy

This tool retrieves metadata about API availability and configuration state. It is a pure read operation—no data is created, modified, deleted, or executed. The blast radius of misuse is minimal; an adversary learning which APIs are available poses no direct harm. Confidence is high because the name and description unambiguously describe a read-only status check.

From the tool's definition Tool name 'api_status' and description 'Check which APIs are configured and available' indicate it performs a status check/query operation with no side effects.

Questions about api_status

What does the api_status tool do? +

Check which APIs are configured and available. It is categorised as a Read tool in the Content Research MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on api_status? +

Register the Content Research MCP server in PolicyLayer and add a rule for api_status: 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 Content Research. Nothing to install.

What risk level is api_status? +

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

Can I rate-limit api_status? +

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

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

api_status is provided by the Content Research MCP server (wjddusrb03/content-research-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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