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BrandonDoster

PrintVaultMCP

create_tracker_from_github

Crawl a GitHub repository for printable files, preview them, and create a 3D printing tracker.

Instructions

Crawl a GitHub repository for printable files and return the results. Use this to preview files before creating a tracker.

Args: github_url: Full GitHub URL to a repository or subdirectory (e.g. https://github.com/VoronDesign/Voron-0/tree/main/STLs).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
github_urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits, but it fails to clarify whether the tool actually creates a tracker or only simulates/previews. The name says 'create_tracker_from_github' while the description says 'Crawl ... and return the results' for 'preview' purposes, creating ambiguity about side effects. It also doesn't mention any behaviors like rate limiting, authentication, or what counts as 'printable files.'

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?

The description is concise, containing only two sentences and a parameter explanation. It is front-loaded with the purpose. However, the mismatch between the tool name (create) and the description (preview) causes redundant cognitive load, slightly reducing efficiency.

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?

While an output schema exists (reducing the need to describe return values), the description is incomplete for a tool of this complexity. It doesn't explain what 'printable files' means (e.g., file extensions), nor does it clarify the relationship between this preview crawl and the actual tracker creation implied by the tool name. The purpose and scope remain under-specified.

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

Parameters5/5

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

Even though schema coverage is 0%, the description fully explains the only parameter, github_url, by stating it should be a 'Full GitHub URL to a repository or subdirectory' and provides a concrete example. This adds significant meaning beyond the schema's bare string type, making the parameter semantics exceptionally clear.

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 clearly states the tool's action: 'Crawl a GitHub repository for printable files and return the results.' This is a specific verb and resource, and it distinguishes the tool from siblings (no other tool mentions GitHub crawling). However, the tool name 'create_tracker_from_github' suggests actual tracker creation, while the description frames it as a preview step, creating slight ambiguity.

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?

The description explicitly says 'Use this to preview files before creating a tracker,' providing clear context for when to use the tool. It does not mention alternatives or exclusions, but the usage timing is well-defined. This is more than implied guidance; it's a direct instruction.

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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