post-model-training-action-by-model-id

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

No annotations are provided, so the description carries full burden. It states the action is 'cancel' but doesn't disclose behavioral traits: whether this is destructive (likely yes, as it stops training), if it requires specific permissions, rate limits, or what the response looks like (e.g., success/failure message). The description is minimal and misses key operational details.

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 very concise with a single sentence, front-loaded with the key action. There's no wasted text, but it might be overly terse given the lack of behavioral context. It efficiently states the purpose without redundancy.

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 no annotations, no output schema, and a mutation tool (canceling training is likely destructive), the description is incomplete. It doesn't cover success/error responses, side effects, or prerequisites. For a tool that modifies system state, more context is needed to use it safely and effectively.

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 100%, so the schema already documents both parameters fully. The description adds no additional meaning beyond what's in the schema (e.g., it doesn't explain modelId format or action implications). Baseline score of 3 is appropriate as the schema handles parameter documentation.

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 states the action ('trigger') and resource ('model training'), but is vague about scope and effect. It mentions 'cancel' as the action, but doesn't clarify if this stops training permanently or temporarily, or what happens to the model. It distinguishes from siblings by focusing on training actions, but lacks specificity about the outcome.

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 versus alternatives. It doesn't mention prerequisites (e.g., model must be in training state), exclusions, or related tools like 'put-models-train-by-model-id' for starting training. Usage is implied only by the action name 'cancel'.

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