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

No annotations are present, so the description carries the burden of disclosure. It does provide meaningful behavioral detail by listing the output facets, including 'pinned revision' and 'current health' of sources, which implies live or status-dependent data. However, it does not disclose error behavior, auth requirements, or potential performance considerations such as large file lists.

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 a single dense sentence that front-loads the primary result (pinned revision) and then lists the remaining returned data with no wasted words. Every phrase contributes meaning and there is no repetition of the tool name or title.

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?

For a one-parameter getter with no output schema, the description is quite complete: it tells the agent what data will come back and gives enough context to interpret the result. It omits error handling or pagination details, and could mention what happens when a model is not found, but the core invocation needs are satisfied.

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 sole parameter id is fully documented by the input schema ('org/name, as on Hugging Face'), reaching 100% schema coverage. The description adds no additional meaning about the parameter's format, constraints, or edge cases, so the baseline of 3 applies.

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 identifies the resource ('one model') and enumerates the exact returned data: pinned revision, files with size and SHA-256, GGUF quantisations, and source health. The title 'Get a model' supplies the verb. It is distinguishable from siblings like resolve_file and search_models, though it does not explicitly contrast them.

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?

There is no guidance on when to use this tool versus search_models or resolve_file, and no exclusion criteria or prerequisites are mentioned. The context is only implicit: this tool retrieves details for a single model, while siblings search or resolve files. The description does not help an agent decide between alternatives.

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