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Auto-Scan Project Dependencies

gt_auto_scan
Read-onlyIdempotent

Automatically identifies all project dependencies from manifest files and retrieves the latest best practices for each library.

Instructions

Automatically detect all dependencies in a project and fetch latest best practices for each. Say "use gt" to invoke.

Reads: package.json, requirements.txt, pyproject.toml, Cargo.toml, go.mod, pom.xml, composer.json, build.gradle — whichever exist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectPathNoAbsolute path to the project directory. Defaults to current working directory. The tool will read package.json, requirements.txt, Cargo.toml, go.mod, etc.
topicNoWhat to look up for each detected dependency. Examples: 'latest best practices', 'security', 'performance', 'migration'. Leave empty for general best practices.
tokensPerLibNoMax tokens per library (default: 1500). Lower = more libraries covered.
Behavior4/5

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

Annotations already indicate readOnlyHint, non-destructive, idempotent, and openWorld. The description adds specific file types scanned (package.json, etc.), which provides context beyond annotations. No contradictions.

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?

Two sentences and a list with no fluff. The main action is front-loaded. Every element earns its place.

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

Completeness3/5

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

Covers core functionality and file types, but lacks guidance on output format or how to interpret results. For a scanning tool with no output schema, this is adequate but not complete.

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 coverage is 100%, so the schema already documents each parameter. The description's mention of file types adds context to projectPath but doesn't provide new parameter-level information beyond what the schema states.

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 clearly states the tool automatically detects dependencies and fetches best practices. It distinguishes from siblings like gt_best_practices by specifying automatic scanning of project files.

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 explicit guidance on when to use this tool versus siblings. The instruction 'Say use gt to invoke' is a command rather than usage context. There is no mention of when not to use it or alternatives.

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

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