replicate_get_model

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that it returns both details and the latest version, which is useful, but it does not disclose auth requirements, rate limits, or response shape beyond that.

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 clear sentence with no wasted words and is front-loaded with the verb and resource. It is appropriately concise, though it is perhaps too terse to carry the needed parameter context.

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?

The tool is simple, with three required parameters and rich annotations, but there is no output schema and the description only vaguely says 'details and latest version.' It is minimally adequate, though an agent would benefit from clearer explanation of the required model identifier and returned data.

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?

Schema description coverage is only 33%, with api_token and model_name undocumented in the schema. The description does not explain any of the required parameters or how owner and model_name identify the target model, so it does not compensate for the coverage gap.

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 uses a specific verb ('Get') and resource ('details and latest version for a Replicate model'), so the core action is clear. It does not explicitly distinguish this tool from sibling model-listing or prediction tools, but the get-by-model operation is still understandable.

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?

It states what the tool does but gives no guidance on when to use it versus alternatives such as replicate_list_models or replicate_get_prediction. There are no exclusions, prerequisites, or context cues for selecting this tool.

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