twitter_publish_thread

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

With no annotations, the description must disclose behavioral traits. It does mention the return format (JSON with tweet IDs and permalinks) and that tweets are chained as replies, but it omits critical behaviors like the fact that this posts publicly, requires authentication, and may have rate limits or partial-failure consequences. The posting action's irreversibility and auth needs are not disclosed.

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 succinct and well-structured: a one-sentence purpose followed by an Args and Returns section. Every sentence provides necessary information, with no redundant filler or excessive detail.

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?

The tool is relatively simple (one parameter, output schema exists, description covers return value), but the description lacks usage guidelines (when to use vs alternatives) and important behavioral disclosures like auth and public visibility. It is adequate for basic understanding but not fully complete for an AI agent deciding when and how to invoke it safely.

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 input schema has one parameter with 0% description coverage, so the description must add meaning. The Args section states 'posts: List of text strings to publish as a tweet thread,' which clarifies each element is a tweet but does not specify constraints like max tweet length, order sensitivity, or handling of empty strings. It adds some value beyond the schema but not comprehensive details.

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 clearly states the tool's action: 'Publish a full thread (multiple tweets chained as replies) to Twitter/X.' It uses a specific verb and resource (thread publishing) and implicitly distinguishes from siblings like twitter_publish_text (single tweet) and threads_publish_thread (Threads platform).

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 indicates the tool is for threads ('full thread', 'multiple tweets chained as replies') which implies when to use it, but it does not explicitly state when not to use it or mention alternatives such as twitter_publish_text for single tweets. It provides clear context but no exclusions.

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