judge.evaluate_response
Evaluate a single response using LLM-as-a-judge with customizable criteria and rubrics
This record as markdown: /tools/jrmatherly-mcp-context-forge/judge.evaluate-response.md
What judge.evaluate_response does on ContextForge MCP Gateway
AI agents call judge.evaluate_response to retrieve information from ContextForge MCP Gateway without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why judge.evaluate_response is rated Low
This tool evaluates/scores a response using an LLM judge — it reads and assesses input data but does not create, modify, delete, or trigger external side effects. The output is an evaluation result, making it a read/query operation. Severity is low as misuse would at worst produce biased or incorrect evaluations.
From the tool's definition 'Evaluate a single response using LLM-as-a-judge with customizable criteria and rubrics'
Attacks that exploit this kind of access
The rule that runs judge.evaluate_response safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ContextForge MCP Gateway, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For judge.evaluate_response, this is the rule to start with:
judge.evaluate_response is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ContextForge MCP Gateway, apply this rule, and every judge.evaluate_response call is checked against it from then on.
Questions about judge.evaluate_response
Evaluate a single response using LLM-as-a-judge with customizable criteria and rubrics. It is categorised as a Read tool in the ContextForge MCP Gateway MCP Server, which means it retrieves data without modifying state.
Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for judge.evaluate_response: 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.
judge.evaluate_response 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 judge.evaluate_response 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 judge.evaluate_response. 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.
judge.evaluate_response 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.
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