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get_project_overview

Get a lightweight project overview—including name, tech stack, root directories, file counts, and config files—before deeper code analysis. Requires no vector store or indexing.

Instructions

Returns a fast, lightweight overview of the project.
Does NOT require vector store or indexing.
Use this FIRST to understand the project before diving deeper.

Returns:
    Project name, tech stack, root directories, file type counts, config files.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.12.0

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description must carry the burden, and it does disclose the key non-obvious trait: "Does NOT require vector store or indexing," implying no prior setup and low cost. It does not state side-effect/read-only status explicitly, but the read semantics are evident from the return description.

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?

Front-loaded with the core statement, then the free-of-setup caveat, then usage ordering — all in three short lines. The "Returns:" block partially duplicates the existing output schema, a small redundancy, though it aids quick scanning.

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

Completeness5/5

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

With zero parameters, an output schema present, and no destructive behavior possible, the description covers everything an agent needs: what it returns at a high level, that no indexing is required, and that it should be called first.

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 takes zero parameters, so the baseline is 4; there is no parameter semantics to document and the description correctly does not invent any.

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?

States a specific verb and resource ("Returns ... overview of the project") and scopes it with "fast, lightweight," which separates it from heavier analysis siblings like analyze_project_structure. It does not name an explicit alternative, so it falls short of a 5.

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

Usage Guidelines4/5

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

"Use this FIRST to understand the project before diving deeper" gives clear sequencing guidance that positions it ahead of the many explore/analyze siblings. It lacks explicit when-not conditions or named alternatives (e.g., get_context_brief, project_onboarding), so 4 rather than 5.

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