Compare two Artillery test results to detect performance regressions.
AI agents call compare_results to retrieve information from Artillery MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and compares existing test results to identify regressions. It only analyzes data already captured from previous test runs — no side effects, no data modification, no execution of new tests.
From the tool's definition Compare two Artillery test results to detect performance regressions
Attacks that exploit this kind of access
Compare two Artillery test results to detect performance regressions. It is categorised as a Read tool in the Artillery MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Artillery MCP Server MCP server in PolicyLayer and add a rule for compare_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 Artillery MCP Server. Nothing to install.
compare_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 compare_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 compare_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.
compare_results is provided by the Artillery MCP Server MCP server (jch1887/artillery-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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