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get_architecture_overview

Summarize a repository's architecture by listing languages, top-level packages, hub functions, entry points, and external dependencies without grepping files.

Instructions

Languages, top-level packages, hub functions, entry points and external deps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.3/5.0
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 none: no indication that it is read-only, that an index/repository scope is required, or what the cost is. Listing output contents is largely redundant with the output schema. Significant behavioral gaps remain for a tool with zero annotation coverage.

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

Conciseness2/5

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

It is short, but it is a sentence fragment rather than a concise statement, so the brevity reflects under-specification rather than efficiency. There is no front-loaded statement of what the tool actually does.

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?

An output schema exists, so return values need not be re-explained, but the description still omits the essential context: what repository/scope it operates on and when an agent should pick it over the many sibling graph tools. For a tool in a dense sibling set, this is inadequate.

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

Parameters2/5

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

There is one parameter ('top', default 10) with 0% schema description coverage, and the description never mentions it or explains what is being counted/truncated. The description does not compensate for the schema's silence, leaving the parameter's meaning ambiguous.

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?

The description is a bare noun list ('Languages, top-level packages, hub functions, entry points and external deps') with no verb, so it implies the tool summarizes repository architecture but never states it. It does not distinguish itself from siblings like query_graph or get_review_context. The content list is informative enough to be more than a tautology, but purpose is only inferable.

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 when-to-use, when-not-to-use, or alternative guidance at all. An agent cannot tell from the text whether this is the entry point before query_graph or a substitute for graph_status. Usage is left entirely to inference.

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