mcp-lab-agent

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Detectar estrutura do projeto

detect_project

Analyzes the project structure to identify test frameworks, backend/frontend, and environment, then provides hints for generating tests.

Instructions

Analisa o projeto e identifica frameworks de teste, pastas, backend, frontend, ambiente (web/mobile) e hints para geração de testes.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "detect_project"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Output Schema

Name	Required	Description	Default
`ok`	Yes
`structure`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv2.3.1Aug 2, 2026

TDQS

A4/5.0

Behavior3/5

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

With no annotations, the description carries the full burden. It states the tool analyzes and identifies specific project aspects, which implies a read-only, non-destructive operation. However, it does not explicitly declare that it modifies nothing or describe any potential side effects, leaving some ambiguity.

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?

The description is a single, concise sentence that front-loads the action ('Analisa') and lists the key outputs in a structured list. Every word contributes meaning, with no unnecessary fluff.

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?

Given zero input parameters and the presence of an output schema, the description sufficiently covers the main purpose. It does not specify the exact return format, but the output schema handles that. The only gap is not elaborating on what 'hints' means, but this is minor.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4. The description adds nothing about parameters because none exist, but no further clarification is needed.

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

Purpose5/5

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

The description uses a specific verb ('Analisa') and clearly states what is analyzed: project structure, test frameworks, folders, backend, frontend, environment, and test-generation hints. This distinguishes it from siblings like read_project, which likely just reads files without analysis.

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?

No explicit when-to-use or alternative comparisons are provided. The phrase 'hints para geração de testes' implies the tool is useful before test generation, but there is no guidance on when to prefer it over siblings like read_project or analyze_file_methods.

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