run_ai_eval_summary

Aggregate AI eval case outcomes into pass-rate and actionable risk summary.

Server Scorton yojedesign/scorton-mcp
Category Read
Risk class Low
Parameters 00 required

What run_ai_eval_summary does on Scorton

AI agents call run_ai_eval_summary to retrieve information from Scorton without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why run_ai_eval_summary needs a policy

The tool reads and aggregates existing AI evaluation case outcomes to produce a summary report (pass-rate and risk summary). There are no write, execute, destructive, or financial side effects described. It is purely a data aggregation and reporting operation, similar to a query or fetch.

From the tool's definition 'Aggregate AI eval case outcomes into pass-rate and actionable risk summary' — this is a read/aggregation operation that collects and summarizes existing evaluation data without modifying or deleting anything.

Questions about run_ai_eval_summary

What does the run_ai_eval_summary tool do? +

Aggregate AI eval case outcomes into pass-rate and actionable risk summary. It is categorised as a Read tool in the Scorton MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on run_ai_eval_summary? +

Register the Scorton MCP server in PolicyLayer and add a rule for run_ai_eval_summary: 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 Scorton. Nothing to install.

What risk level is run_ai_eval_summary? +

run_ai_eval_summary is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit run_ai_eval_summary? +

Yes. Add a rate_limit block to the run_ai_eval_summary 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.

How do I block run_ai_eval_summary completely? +

Set action: deny in the PolicyLayer policy for run_ai_eval_summary. 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.

What MCP server provides run_ai_eval_summary? +

run_ai_eval_summary is provided by the Scorton MCP server (yojedesign/scorton-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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