unfavorite_tweet

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Unlike a tweet' implies a mutation operation (removing a favorite), but it doesn't specify permissions needed, side effects (e.g., notification changes), error conditions, or response behavior. This is inadequate for a mutation tool with zero annotation coverage.

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 extremely concise with 'Unlike a tweet'—three words that directly convey the core action. It's front-loaded with zero wasted words, making it efficient and easy to parse, though this conciseness comes at the cost of 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?

Given the tool's moderate complexity (mutation with one parameter) and the presence of an output schema (which handles return values), the description is minimally complete. However, with no annotations and sparse parameter guidance, it lacks context on behavioral aspects like error handling or side effects, making it only adequate.

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 doesn't mention parameters, but with only one parameter (tweet_id) and 0% schema description coverage, the baseline is high. Since the tool name and description imply the action requires a tweet identifier, the minimal description is somewhat sufficient, though it doesn't add explicit meaning beyond what's inferred.

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 'Unlike a tweet' clearly states the action (unlike) and target resource (tweet), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'favorite_tweet' or 'delete_tweet' beyond the obvious opposite action, missing explicit sibling distinction.

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. The description doesn't mention prerequisites (e.g., the tweet must already be favorited), exclusions, or comparisons to sibling tools like 'favorite_tweet' or 'delete_tweet', leaving usage context unclear.

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