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firozanam

Error Debugging MCP Server

by firozanam

detect-errors

Identify console, runtime, build, and test errors across languages, with real-time monitoring and warnings, to support debugging and resolution.

Instructions

Detect errors from various sources (console, runtime, build, test)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filesNoSpecific files to analyze
sourceNoSource to detect errors from
languageNoProgramming language to focus on
realTimeNoEnable real-time error monitoring
includeWarningsNoInclude warnings in addition to errors

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: no indication whether this is read-only or mutating, whether real-time monitoring runs indefinitely, or what permissions/setup are required. 'Detect' implies a read, but that is inference rather than disclosure.

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

Conciseness4/5

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

A single compact sentence with no filler, front-loading the verb and resource. It is efficient, though the truncated parenthetical list conveys little additional information.

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

Completeness2/5

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

For a 5-parameter tool with no output schema and no annotations, the description is too thin. It omits what a returned error report looks like, whether real-time mode changes invocation behavior, and how it relates to its sibling tool.

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?

Schema description coverage is 100%, so all five parameters are already documented in the schema, and the description only echoes the source enum values. It adds no semantics beyond the structured fields, which meets the baseline of 3 but no more.

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

Purpose3/5

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

States a specific verb+resource ('detect errors') and enumerates the source categories, which is clearer than a bare tautology. However, it never distinguishes itself from the sibling 'analyze-error', so an agent cannot tell the two apart from the description alone.

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

Usage Guidelines2/5

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

No when-to-use, when-not-to-use, or alternative guidance is given. The sibling 'analyze-error' exists but is not mentioned, leaving the agent to guess which tool fits a given situation.

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

Deploy Server

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