model_files

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

With no annotations, the description adequately discloses that the tool is read-only (lists files, no side effects). It specifies return fields but does not detail potential errors or limitations (e.g., authentication requirements, pagination).

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

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

The description is concise: three sentences covering purpose, arguments, returns, and a usage hint. No filler or repetition, and information is front-loaded.

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

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

Given the tool's simplicity and lack of output schema or annotations, the description adequately explains what the tool does and returns. It could mention potential failure modes (e.g., invalid thing_id) but is sufficient for basic usage.

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

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

The description adds minimal meaning to the parameter 'thing_id' by stating it is a 'Numeric thing ID', which is redundant given the schema type 'integer' and 0% schema description coverage. It could include more context (e.g., 'The ID of the Thingiverse model').

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

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

The description clearly states the tool lists downloadable files for a Thingiverse model, with a specific verb ('List') and resource ('downloadable files'). It distinguishes from sibling tools like 'download_model' by describing its output as a list and referencing 'download_model' for the actual file download.

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

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

The description implies when to use (before downloading) and explicitly references 'download_model' as the next step. However, it does not provide explicit when-not-to-use or alternative tools for similar tasks (e.g., 'model_details' for metadata).

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