server.get_evaluation_results

List evaluation results with optional filtering

Server ContextForge MCP Gateway jrmatherly/mcp-context-forge
Category Read
Risk class Low
Parameters 00 required

What server.get_evaluation_results does on ContextForge MCP Gateway

AI agents call server.get_evaluation_results to retrieve information from ContextForge MCP Gateway without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why server.get_evaluation_results needs a policy

This tool performs a read-only operation: it retrieves and lists existing evaluation results. The verb 'get' and the phrase 'list...with optional filtering' confirm it queries data without side effects. There is no indication of creation, modification, deletion, or execution of commands. The filtering mechanism is a standard retrieval parameter, not a write or destructive action.

From the tool's definition Tool name includes 'get' and description states 'List evaluation results with optional filtering' — both indicate data retrieval with no modification or deletion.

Questions about server.get_evaluation_results

What does the server.get_evaluation_results tool do? +

List evaluation results with optional filtering. It is categorised as a Read tool in the ContextForge MCP Gateway MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on server.get_evaluation_results? +

Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for server.get_evaluation_results: 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 ContextForge MCP Gateway. Nothing to install.

What risk level is server.get_evaluation_results? +

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

Can I rate-limit server.get_evaluation_results? +

Yes. Add a rate_limit block to the server.get_evaluation_results 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 server.get_evaluation_results completely? +

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

server.get_evaluation_results is provided by the ContextForge MCP Gateway MCP server (jrmatherly/mcp-context-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

server.get_evaluation_results is one line of ContextForge MCP Gateway's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

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