list_model_versions

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

No annotations are provided, so description carries full burden. It adds valuable behavioral context by detailing the status fields: training state in 'status' with possible values, and report readiness in 'edaReportStatus'. This helps the agent interpret the response.

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?

Three short sentences: main purpose first, then status details. No fluff, front-loaded. Could be slightly more structured but efficient.

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 2 required params, no annotations, and an output schema, the description explains key response fields. However, it lacks info on pagination, ordering, or if all versions are returned. Somewhat complete but leaves gaps.

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 0%, and the description does not add any meaning to the two parameters ('project_id', 'model_id'). The agent must infer their purpose from names alone, which is insufficient.

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?

Description explicitly states 'List model versions.' The verb 'list' and resource 'model versions' are clear. It distinguishes from siblings like 'get_model_version' (single item) and 'create_model_version'.

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?

No guidance on when to use this tool vs alternatives. Does not mention filtering, pagination, or compare to similar list tools like 'list_datasets' or 'list_models'. The sibling list is provided but not referenced.

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