Get complete details and usage example for a specific endpoint
AI agents call get_endpoint_details to retrieve information from Sufetch without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and presents information about API endpoints. It does not create, modify, delete, or execute any operations. It is a Read operation because it fetches documentation details for informational purposes only. The context of exploring OpenAPI clients confirms this is a browsing/discovery function with minimal risk.
From the tool's definition Tool name is 'get_endpoint_details' and description states it 'Get[s] complete details and usage example for a specific endpoint' — this is a retrieval operation that queries API documentation/schema information with no side effects.
Documented attack patterns abuse exactly the kind of access get_endpoint_details gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sufetch, and nothing reaches the server without passing your rules. This is the rule we recommend for get_endpoint_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_endpoint_details": {}
}
}get_endpoint_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get complete details and usage example for a specific endpoint. It is categorised as a Read tool in the Sufetch MCP Server, which means it retrieves data without modifying state.
Register the Sufetch MCP server in PolicyLayer and add a rule for get_endpoint_details: 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 Sufetch. Nothing to install.
get_endpoint_details 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 get_endpoint_details 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 get_endpoint_details. 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.
get_endpoint_details is provided by the Sufetch MCP server (productdevbook/sufetch). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Sufetch, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 Sufetch tools catalogued and risk-classified — across an index of 43,000+ MCP servers.