like_tweet

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

No annotations provided. The description only states the basic action without disclosing behavior like idempotency, error handling, or authentication requirements. For a mutation tool, this is insufficient.

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 concise with two lines, no extra words. However, it borders on under-specified for the parameter explanation.

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 simple but lacks required context: return value, error conditions, or behavior for already-liked tweets. An output schema exists but the description does not leverage it.

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 0%, so the description must compensate. It merely restates the parameter name and type ('The tweet ID') without adding format or constraints. This adds little value over the schema.

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 uses a clear verb ('Like') and resource ('a tweet by ID'), and the parameter is explained. It directly distinguishes from sibling tools like 'retweet' or 'unfavorite_tweet'.

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?

No guidance on when to use this tool versus alternatives, such as 'unfavorite_tweet' for unliking. The description lacks context on expected use cases or exclusions.

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