Low Risk

openapi_server_info

openapi_server_info

How to control openapi_server_info ↓

What openapi_server_info does on Openapi Mcp Sdk

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

Low Risk

Why openapi_server_info needs a policy

The naming convention (openapi_server_info) and the context of sibling tools (check_*) that retrieve data without modification suggest this retrieves metadata or status information about the API server itself. This is a passive information lookup with no side effects. Lack of description reduces confidence slightly, but the pattern and server purpose point clearly to a Read operation.

From the tool's definition Tool name 'openapi_server_info' suggests querying server information; description is empty, which lowers confidence. The server's stated purpose is 'retrieve official documents and data,' indicating primarily read operations.

Documented attack patterns abuse exactly the kind of access openapi_server_info gives an agent:

How to control openapi_server_info

PolicyLayer is an MCP gateway — it sits between your AI agents and Openapi Mcp Sdk, and nothing reaches the server without passing your rules. This is the rule we recommend for openapi_server_info:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "openapi_server_info": {}
  }
}

openapi_server_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Openapi Mcp Sdk — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about openapi_server_info

What does the openapi_server_info tool do? +

openapi_server_info. It is categorised as a Read tool in the Openapi Mcp Sdk MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on openapi_server_info? +

Register the Openapi Mcp Sdk MCP server in PolicyLayer and add a rule for openapi_server_info: 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 Openapi Mcp Sdk. Nothing to install.

What risk level is openapi_server_info? +

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

Can I rate-limit openapi_server_info? +

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

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

openapi_server_info is provided by the Openapi Mcp Sdk MCP server (openapi/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Openapi Mcp Sdk tool call.

Start from Openapi Mcp Sdk, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

41 Openapi Mcp Sdk tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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