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

Annotations declare readOnlyHint=false and destructiveHint=false, but not the key fact the description supplies: 'Nothing is published,' so a mutation call is actually a non-publishing proposal. That corrects a plausible wrong assumption about drafting content. It still omits what happens on repeated calls (idempotentHint=false) and any permission requirements.

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?

One sentence, front-loaded with the transformation and destination, followed by the review path and the non-publication guarantee. No filler, no repetition of the title or schema.

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?

With one fully documented parameter, no output schema, and annotations covering the safety profile, the description supplies what an agent needs: what is produced, where it lands, and how it is reviewed. Missing only edge-case behavior such as duplicate calls or failure when the conversation has no answer.

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% for the single conversationId parameter, so the schema carries the burden and the baseline is 3. The description adds real semantic value beyond it by specifying that the conversation's latest answer is the source, clarifying which part of a thread is consumed.

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 precise verb+resource pair ('Turn a conversation's latest answer into an article proposal in Training') and explicitly names the destination and the reviewing sibling tool, approve_training_proposal. An agent can distinguish it from create_article, draft_changelog_from_releases, and draft_reply_with_ai without opening any 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?

It gives clear workflow context: the output is a proposal in Training meant for review via approve_training_proposal, which tells the agent this is a draft-then-approve flow rather than a direct publish. It does not, however, state when to prefer this over sibling creators such as create_article, nor any prerequisite (e.g., the conversation must contain an answer).

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