call_endpoint

call_endpoint

Server Mcp Camara vrtornisiello/mcp-camara
Category Execute
Risk class High
Parameters 00 required

What call_endpoint does on Mcp Camara

AI agents invoke call_endpoint to trigger actions in Mcp Camara. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

Why call_endpoint needs a policy

The name 'call_endpoint' strongly suggests executing API calls, potentially to arbitrary endpoints. Without a description, we cannot confirm read-only vs. write behavior. Given sibling tools already handle specific read operations (get_bills_by_deputy, get_deputy_by_name, etc.), this tool likely serves as a generic executor for any API endpoint, which could trigger non-read operations.

From the tool's definition Tool name 'call_endpoint' with empty description. The name implies executing an HTTP call to an arbitrary API endpoint.

Questions about call_endpoint

What does the call_endpoint tool do? +

call_endpoint. It is categorised as a Execute tool in the Mcp Camara MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on call_endpoint? +

Register the Mcp Camara MCP server in PolicyLayer and add a rule for call_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 Mcp Camara. Nothing to install.

What risk level is call_endpoint? +

call_endpoint is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit call_endpoint? +

Yes. Add a rate_limit block to the call_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.

How do I block call_endpoint completely? +

Set action: deny in the PolicyLayer policy for call_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.

What MCP server provides call_endpoint? +

call_endpoint is provided by the Mcp Camara MCP server (vrtornisiello/mcp-camara). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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