Parse Artillery JSON results and return summary.
AI agents call parse_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.
The tool reads and parses existing Artillery JSON result files to produce a summary. It retrieves and analyzes data without modifying, executing, or deleting anything. This is a read-only data processing operation with minimal blast radius.
From the tool's definition Parse Artillery JSON results and return summary
Attacks that exploit this kind of access
Parse Artillery JSON results and return summary. 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 parse_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.
parse_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 parse_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 parse_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.
parse_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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