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

Annotations already declare this is a non-read-only, non-idempotent, non-destructive, closed-world mutation. The description adds real value beyond that: it warns the call can consume paid model capacity, notes authentication is required, and states the operation is asynchronous with a required polling path. It does not say whether the task can be cancelled or what the run identifier 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?

Three short sentences, front-loaded with the mutation and its cost implication before the follow-up workflow. No filler; every clause carries information.

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 3-param, no-output-schema creation tool, the description covers the mutation, the cost side effect, authentication, and the full result-retrieval path. It leaves only minor gaps, such as what the run identifier/response contains and cancellation behavior, which are partly covered by sibling tools.

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%, including the idempotency_key retry semantics, so the baseline is 3. The description adds no parameter-level detail (e.g., how task_input is passed or how idempotency_key interacts with the non-idempotent annotation).

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 a specific verb and object ('queues an authenticated asynchronous task') and routes to polling siblings by name, so an agent can distinguish it from get_run_status/get_run_result. It never states that the artifact created is a 'GPT-6 Sol run' (only the title carries that), so the resource is somewhat abstracted.

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 gives a clear when-to-use workflow: call this, then poll agentfarm_get_run_status, then read agentfarm_get_run_result. It names the alternatives for the follow-up steps but gives no explicit when-not guidance (e.g., when to use cancel_run or how to avoid double-submitting).

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