obtain_synthetic_dataset_id

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

With no annotations and no output schema, the description carries the full burden. It usefully discloses the state precondition (COMPLETED/FINALIZED), but says nothing about failure behavior on non-completed workflows, whether the ID persists, or what the return looks like.

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?

Two tight sentences, zero waste, with the action front-loaded and the constraint immediately following. Nothing extraneous.

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 single-parameter extraction tool with full schema coverage, the description is nearly sufficient. The main gap is the absence of any statement about the returned ID, which the missing output schema leaves to the agent's inference.

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% and the single parameter is already documented as coming from start_generation_workflow. The description adds no syntax, format, or sourcing detail beyond the schema, so the baseline 3 is appropriate.

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?

States a specific verb ('Extract') and resource ('synthetic dataset ID') tied to a generation workflow, so an agent can distinguish it from siblings like get_trained_model_id or start_generation_workflow. It does not explicitly name the sibling it complements, so it falls just short of full differentiation.

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?

Gives a clear precondition: it 'only works on COMPLETED or FINALIZED workflows,' which tells the agent when the tool is valid. It does not name an alternative or say what happens if the workflow is still running, but the triggering condition is explicit.

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