server.get_evaluation_results
List evaluation results with optional filtering
This record as markdown: /tools/jrmatherly-mcp-context-forge/server.get-evaluation-results.md
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. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why server.get_evaluation_results is rated Low
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.
Attacks that exploit this kind of access
The rule that runs server.get_evaluation_results 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 server.get_evaluation_results, this is the rule to start with:
server.get_evaluation_results 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 server.get_evaluation_results call is checked against it from then on.
Questions about server.get_evaluation_results
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.
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.
server.get_evaluation_results 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 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.
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.
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.
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