judge.rank_responses
Rank multiple responses from best to worst using LLM-as-a-judge
This record as markdown: /tools/jrmatherly-mcp-context-forge/judge.rank-responses.md
What judge.rank_responses does on ContextForge MCP Gateway
AI agents invoke judge.rank_responses to trigger actions in ContextForge MCP Gateway. 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 judge.rank_responses is rated High
This tool invokes an LLM-as-a-judge mechanism to evaluate and rank responses, which constitutes triggering an external operation (LLM inference call). It doesn't merely read static data; it executes a computational/AI process whose output depends on the inputs provided.
From the tool's definition 'Rank multiple responses from best to worst using LLM-as-a-judge' — triggers an LLM evaluation process as an external operation
Attacks that exploit this kind of access
The rule that runs judge.rank_responses 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.rank_responses, this is the rule to start with:
judge.rank_responses stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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.rank_responses call is checked against it from then on.
Questions about judge.rank_responses
Rank multiple responses from best to worst using LLM-as-a-judge. It is categorised as a Execute tool in the ContextForge MCP Gateway MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for judge.rank_responses: 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.rank_responses is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the judge.rank_responses 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.rank_responses. 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.rank_responses 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.
More on ContextForge MCP Gateway, and thousands of servers like it.
Across the catalogue