Analyze test run results and explain failures with heuristic classification and actionable recommendations. Pass the structured result from run_spec.
AI agents call explain_failure to retrieve information from MCP Workbench 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 analyzes existing test run results to provide explanations and recommendations. It does not execute code, modify data, or have side effects — it purely interprets structured input data already produced by run_spec.
From the tool's definition 'Analyze test run results and explain failures with heuristic classification and actionable recommendations. Pass the structured result from run_spec.'
Attacks that exploit this kind of access
Analyze test run results and explain failures with heuristic classification and actionable recommendations. Pass the structured result from run_spec. It is categorised as a Read tool in the MCP Workbench MCP Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Workbench MCP Server MCP server in PolicyLayer and add a rule for explain_failure: 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 MCP Workbench MCP Server. Nothing to install.
explain_failure 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 explain_failure 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 explain_failure. 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.
explain_failure is provided by the MCP Workbench MCP Server MCP server (raeseoklee/mcp-workbench-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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