like_tweet

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

The description only states the action without disclosing behavioral traits such as side effects (e.g., adding to liked tweets list), authentication requirements, or rate limits. Since no annotations are provided, the description carries the full burden but fails to add context.

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 a single sentence, making it concise. However, it is overly brief and sacrifices completeness, which is not ideal for a write operation.

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 is a write action with one parameter and no output schema, the description fails to convey what happens after liking (e.g., success confirmation, error handling). It is incomplete for practical use.

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 parameter 'tweetId' is self-explanatory from its name, but with 0% schema description coverage, the description should add useful context like expected format or source. It does not, leaving the parameter's meaning entirely to 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 'Like a tweet on X/Twitter' clearly states the verb (Like) and resource (tweet), making the primary action obvious. However, it does not differentiate from sibling tools like retweet or reply_to_tweet, which are distinct actions.

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 is provided on when to use this tool versus alternatives. There is no mention of prerequisites, context, or exclusions, leaving the agent without decision support.

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