reply_to_tweet

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

The description explains draft mode and the read-only fetch for auto-generation, providing important behavioral context beyond the annotations (which indicate non-read-only but not destructive). However, it does not clarify how to exit draft mode or the exact output.

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 three sentences, front-loading the purpose, then adding key details about parameters and behavior. No unnecessary information.

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 the tool's complexity (3 parameters, output schema exists), the description covers purpose, text options, and draft mode adequately. Missing details like account format are minor since output schema exists.

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 description adds meaning to the 'text' parameter (explicit value or 'auto'), which is helpful given 0% schema coverage. However, it does not explain 'account' or 'tweet_url' formats or constraints.

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 'Reply to a tweet' as the core action, and distinguishes from sibling tools like 'post_tweet' by emphasizing draft mode and the auto-generation feature.

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 implies use for replying with optional auto-generation, but does not explicitly state when to use this tool versus alternatives (e.g., 'post_tweet' for new posts) or when not to use it.

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