rag.benchmark_retrieval_systems
Compare different retrieval approaches using standard IR metrics
This record as markdown: /tools/jrmatherly-mcp-context-forge/rag.benchmark-retrieval-systems.md
What rag.benchmark_retrieval_systems does on ContextForge MCP Gateway
AI agents call rag.benchmark_retrieval_systems 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 rag.benchmark_retrieval_systems is rated Low
This tool performs comparative analysis of retrieval systems using standard information retrieval metrics. The action is read-only — it measures and compares performance characteristics without side effects. No data is created, modified, deleted, or destroyed. No external operations are triggered beyond querying metrics.
From the tool's definition Tool description states 'Compare different retrieval approaches using standard IR metrics' — this is an analytical/benchmarking operation that queries and evaluates existing retrieval system performance without modifying, creating, or deleting any data.
Attacks that exploit this kind of access
The rule that runs rag.benchmark_retrieval_systems 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 rag.benchmark_retrieval_systems, this is the rule to start with:
rag.benchmark_retrieval_systems 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 rag.benchmark_retrieval_systems call is checked against it from then on.
Questions about rag.benchmark_retrieval_systems
Compare different retrieval approaches using standard IR metrics. 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 rag.benchmark_retrieval_systems: 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.
rag.benchmark_retrieval_systems 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 rag.benchmark_retrieval_systems 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 rag.benchmark_retrieval_systems. 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.
rag.benchmark_retrieval_systems 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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