performance.assess_computational_efficiency
Measure resource usage and computational efficiency metrics
This record as markdown: /tools/jrmatherly-mcp-context-forge/performance.assess-computational-efficiency.md
What performance.assess_computational_efficiency does on ContextForge MCP Gateway
AI agents call performance.assess_computational_efficiency 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 performance.assess_computational_efficiency is rated Low
This tool retrieves performance metrics and resource usage data without creating, modifying, deleting, or executing any operations. It is a passive observability/telemetry tool consistent with the server's advertised OpenTelemetry observability capability. No side effects, irreversible actions, code execution, or financial impact are possible.
From the tool's definition The tool name is 'assess_computational_efficiency' and the description states it 'Measure resource usage and computational efficiency metrics'. The verb 'measure' and 'assess' indicate data retrieval and analysis with no modification of state.
Attacks that exploit this kind of access
The rule that runs performance.assess_computational_efficiency 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 performance.assess_computational_efficiency, this is the rule to start with:
performance.assess_computational_efficiency 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 performance.assess_computational_efficiency call is checked against it from then on.
Questions about performance.assess_computational_efficiency
Measure resource usage and computational efficiency 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 performance.assess_computational_efficiency: 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.
performance.assess_computational_efficiency 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 performance.assess_computational_efficiency 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 performance.assess_computational_efficiency. 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.
performance.assess_computational_efficiency 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.
This server
Across the catalogue