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get_error_detail

Get full details of a specific error log entry including stack trace, request data, and headers. Requires admin authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
error_idYesThe ID of the error log entry

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden, and it does disclose the auth requirement and the shape of the returned data (stack trace, request data, headers). It does not state error behavior for an invalid or missing error_id, rate limits, or explicitly confirm the operation is a non-mutating read, leaving meaningful gaps for an unannotated tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tightly packed sentences with zero filler; the core purpose and the return contents are front-loaded ahead of the auth caveat. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read tool with no output schema, the description covers what the tool does, what it returns, and who may call it. Only edge-case behavior (invalid ID, missing entry) is absent, which is a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter error_id is fully documented at 100% schema coverage, so the schema already does the heavy lifting and baseline is 3. The description adds nothing about the parameter's format, source, or where an agent obtains a valid ID.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Get') and resource ('full details of a specific error log entry'), and enumerates the payload (stack trace, request data, headers), which implicitly distinguishes it from the list-style sibling get_errors and the aggregate get_error_stats. It stops short of explicitly naming those siblings or the boundary between them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied - the agent can infer this is for drilling into a single entry after locating an error_id, but no sibling is named and no when/when-not guidance is given. The only concrete precondition offered is 'Requires admin authentication,' which is a prerequisite rather than usage routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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