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diagnose_spring_issues

Troubleshoot Spring Boot startup, web, data, security, actuator, and configuration errors by analyzing error messages and stack traces, then receive targeted solutions.

Instructions

Diagnose common Spring Boot issues and provide solutions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
componentNoSpring Boot component related to the issue
stack_traceNoStack trace (optional, for more specific diagnosis)
error_messageYesError message or issue description

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.4.1
    • addedInput schema / properties / error_message / maxLength
      Added value: +2000
    • addedInput schema / properties / stack_trace / maxLength
      Added value: +10000
  2. First observedv1.2.8

TDQS

C2.9/5.0
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. It implies an advisory read-only operation but never states whether the diagnosis is static or model-generated, what permissions are needed, or whether any state is modified. The absence of an output schema makes the missing disclosure of the response shape more costly.

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 front-loaded sentence with no filler or redundancy. It could stand to spend one more sentence on usage, but nothing present is wasted.

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 tool with no annotations and no output schema, the description should explain what a diagnosis/solution result looks like and when it is appropriate. Instead it stops at a one-line purpose, leaving the agent unable to anticipate the return format or the tool's limits.

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%, with each parameter documented and an enum on 'component', so the schema does the heavy lifting. The description adds no context about how error_message, component, and stack_trace interact (e.g., that stack_trace refines the diagnosis), so the baseline 3 applies.

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 and resource ('Diagnose common Spring Boot issues') plus a secondary action ('provide solutions'). It is clearly distinguishable from sibling tools like search_spring_docs or find_spring_dependency, though it never names an alternative explicitly.

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?

There is no guidance on when to use this tool versus the many retrieval-oriented siblings (search_spring_docs, get_spring_best_practices, etc.). The word 'common' hints at the scope but no prerequisites, exclusions, or alternative conditions are given.

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