Get full details of a specific endpoint including parameters, request body, responses, and security requirements. Supported internal component $refs are resolved inline. Provide either
AI agents call get_endpoint to retrieve information from Apifable without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves information from OpenAPI specifications (endpoint metadata, parameters, request/response schemas, security requirements). It has no capability to modify, execute, delete, or otherwise alter data or systems.
From the tool's definition Tool description states it retrieves 'full details of a specific endpoint' and 'resolves' components inline. The verb 'Get' and the function of exploring OpenAPI specifications without modifying them indicates a read-only retrieval operation.
Documented attack patterns abuse exactly the kind of access get_endpoint gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Apifable, and nothing reaches the server without passing your rules. This is the rule we recommend for get_endpoint:
{
"version": "1",
"default": "deny",
"tools": {
"get_endpoint": {}
}
}get_endpoint is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get full details of a specific endpoint including parameters, request body, responses, and security requirements. Supported internal component $refs are resolved inline. Provide either. It is categorised as a Read tool in the Apifable MCP Server, which means it retrieves data without modifying state.
Register the Apifable MCP server in PolicyLayer and add a rule for get_endpoint: 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 Apifable. Nothing to install.
get_endpoint 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 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. 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 is provided by the Apifable MCP server (ycs77/apifable). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Apifable, 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.
7 Apifable tools catalogued and risk-classified — across an index of 43,000+ MCP servers.