explain_error

explain_error

Server Molmcp molcrafts/molmcp
Category Read
Risk class Low
Parameters 00 required

What explain_error does on Molmcp

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

Why explain_error needs a policy

The tool name indicates it explains or retrieves information about errors rather than executing code, modifying data, or causing side effects. Contextually, it fits the Read category pattern of other introspection and documentation tools on this codebase discovery server. Without an explicit description, confidence is moderate, but the name and sibling tools strongly indicate a query/retrieval operation.

From the tool's definition Tool name 'explain_error' and position among sibling tools (explain_command, get_command_doc, get_doc_index, get_howto, etc.) suggests it retrieves or analyzes error information without modifying state. Description is empty, reducing confidence.

Questions about explain_error

What does the explain_error tool do? +

explain_error. It is categorised as a Read tool in the Molmcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on explain_error? +

Register the Mol MCP server in PolicyLayer and add a rule for explain_error: 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 Molmcp. Nothing to install.

What risk level is explain_error? +

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

Can I rate-limit explain_error? +

Yes. Add a rate_limit block to the explain_error 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 explain_error completely? +

Set action: deny in the PolicyLayer policy for explain_error. 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 explain_error? +

explain_error is provided by the Mol MCP server (molcrafts/molmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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