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

Goes well beyond the readOnly/destructive hints by disclosing that the original receipt is never rewritten on rejection, that the decision is written into the transparency chain alongside the receipt, and by naming the authorization model (approver, org owner/admin, platform staff; workers cannot self-accept). These are exactly the behavioral facts an agent needs before mutating delivery state.

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?

Front-loads the purpose, then handles outcomes, writes, and permissions in a tight sequence with no filler. It is dense but each clause carries operational weight; the API reference link is a reasonable trail-off rather than padding.

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?

No output schema exists, so the description should ideally say what a successful call returns, and it only implies the decision is recorded. Everything else an agent needs for a 4-parameter mutation — required fields, outcome semantics, authorization — is present and consistent, so the gap is narrow.

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 coverage is 100%, so the baseline is 3, but the description adds real meaning by tying `note` to specific outcomes ('what the shortfalls are' vs 'what must change') and explaining that `superseded` requires naming a replacement task. It does not add format hints for task_id (short reference vs URL is covered in the schema).

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 (accept) and resource (a completed task's delivery), and immediately enumerates the four discrete outcomes, which separates it from siblings like complete_task and send_back_to_creator. An agent can identify this as the acceptance-decision tool without opening the schema.

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?

The description defines what each outcome means and the condition each implies (rejected returns to the worker with a required reason, superseded names the replacing task), which is genuine when-to-use guidance. It does not, however, route to alternatives such as send_back_to_creator or prepare_completion, so the sibling boundary is left implicit.

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