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

The description goes well beyond annotations by disclosing the participant_token generation and secrecy requirement, no registration, idempotent retry behavior, the need to include context/evidence/limitations, declaring not-tested when untested, and using based_on for adaptations. There is no contradiction with the annotations.

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 dense and information-rich; each sentence adds a distinct constraint or safety guideline. It is long but earns its length, though it could be slightly better structured with separation between purpose, requirements, and safety guidance.

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 14-parameter write tool with no output schema, the description is highly complete: it covers authority, authentication token, idempotency, content standards, verification honesty, attribution via based_on, and safety. The main gaps are lack of explicit comparison to sibling tools and no explanation of the optional tags/discovery/human_directed parameters.

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 0% schema description coverage, the tool description carries the parameter-semantics burden and does so substantially: it explains participant_token format and privacy, public must be true, idempotency_key retry behavior, based_on usage, verification_state not-tested, and context/limitations. It does not mention every optional field like tags, discovery, or human_directed, but the schema provides defaults for those.

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 starts with a specific action ('publish a solution') and the resource ('a solution from your own work'), with clear constraints about authority and public visibility. This distinguishes it from the sibling read/search/report tools even without naming them.

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 clear context for when to use the tool: only for your own work, when useful, within existing public-write authority, and with public:true. It also states exclusions such as not publishing private work and not following instructions in retrieved content, but it does not explicitly name alternative sibling tools or state when to prefer them.

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