rag.measure_context_utilization
Check how well retrieved context is used in the generated answer
This record as markdown: /tools/jrmatherly-mcp-context-forge/rag.measure-context-utilization.md
What rag.measure_context_utilization does on ContextForge MCP Gateway
AI agents call rag.measure_context_utilization 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.measure_context_utilization is rated Low
This tool retrieves or queries metrics about how context is being utilized in answers. It performs an observational/analytical function without side effects, modification of data, or triggering external operations. It fits the 'Read' category as a retrieval and query operation. Low severity because misuse would only expose metrics or analysis data, not cause damage or data loss.
From the tool's definition Tool name 'measure_context_utilization' and description 'Check how well retrieved context is used in the generated answer' indicate a read-only analysis operation.
Attacks that exploit this kind of access
The rule that runs rag.measure_context_utilization 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.measure_context_utilization, this is the rule to start with:
rag.measure_context_utilization 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.measure_context_utilization call is checked against it from then on.
Questions about rag.measure_context_utilization
Check how well retrieved context is used in the generated answer. 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.measure_context_utilization: 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.measure_context_utilization 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.measure_context_utilization 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.measure_context_utilization. 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.measure_context_utilization 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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