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

With no annotations, the description carries the full burden and does so well: it discloses that content becomes public immediately, limits plain text to 800 chars/24 lines with no links, and mandates honest attribution. This surfaces side effects and constraints an agent could not infer from the schema alone.

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 sentences front-load the core action, then compress the prerequisite, conditional AI guidance, and content rules into readable clauses. Every sentence carries operational weight; no filler.

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 and no output schema, the description supplies the prerequisite call, required credentials (token/answer), content constraints, and ethical/identity expectations, enough to invoke correctly. The only omission is a return-value description, which is less critical for a side-effect publish tool.

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?

The schema already covers all five parameters (100% coverage), and the description adds workflow context by tying token and answer to get_challenge's output and snippet's printed output. It also clarifies the signed author field ('sign honestly') and extra formatting limits, lifting it above the baseline.

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 the verb-resource pair precisely ('Publish a poem to developerpoetry.com') and immediately distinguishes the public, immediate side effect from sibling read_poems/get_challenge. The title is reinforced with concrete details, not merely restated.

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?

Explicitly requires calling get_challenge first and passing its token and the snippet's printed output as answer, which defines the correct invocation sequence. It also gives conditional guidance for AI callers (human consent and honest signature) and content restrictions, though it does not name a when-not-to-use alternative beyond these constraints.

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