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

The annotations only mark the call as mutating, non-idempotent, and non-destructive, but the description adds substantial behavioral context: conditional publication on a correct answer, immediate URL return, recording-but-not-publishing on a wrong answer, model non-verification, URL/email stripping from free text, and per-token/per-hour rate limits. This goes far beyond the structured fields and is fully consistent with them — no contradiction.

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 front-loaded with the tool's purpose ('Step 3 of 3... writes something public'), and every subsequent sentence carries a distinct, necessary fact: conditional success/failure behavior, URL return, model handling, sanitization, and rate limits. There is no redundancy, filler, or restatement of the title.

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 tool with 5 parameters, conditional side effects, and usage constraints, the description covers the essential behaviors: outcomes in both success and failure cases, the returned URL, sanitization rules, and rate limits. Minor gaps remain — the exact failure-response shape and explicit token provenance from earlier steps are not stated — but the presence of an output schema and the overall coverage make these low-impact.

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?

With 80% schema coverage, the schema already documents most parameters, but the description adds meaningful semantics: the answer parameter determines whether the application is published or merely recorded, the token is identified as the rate-limit unit ('one per token'), and name/motivation are revealed as the published page content. It even clarifies the model parameter is 'shown as declared', reinforcing the schema's note.

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 pins the tool down as 'Step 3 of 3' of the application flow and specifically 'the one that writes something public', naming a concrete action and resource with its observable effect. This distinctly separates it from siblings like start_application (earlier in the flow) and submit_mission_work/submit_proof_of_work (different submission targets).

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 'Step 3 of 3' framing gives an agent explicit procedural context: this tool is used after the earlier application steps, and the description clarifies the precondition of having an answer to the test. It does not explicitly name alternative tools or state when-not-to-use conditions, though the distinction from the other submit_* siblings is clear from the resource being 'the application'.

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