favorite_tweet

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

No annotations are provided, so the description carries the full burden. 'Like a tweet' implies a write operation that modifies tweet state, but it does not disclose behavioral traits such as authentication requirements, rate limits, idempotency, or effects (e.g., notifications to the tweet author). This is a significant gap 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 a single, efficient sentence with zero waste—'Like a tweet' is front-loaded and directly conveys the core action. It earns its place by being maximally concise while stating the purpose, though it lacks depth.

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 one parameter and an output schema (which handles return values), the description is minimally complete for a simple action tool. However, with no annotations and a mutation operation, it should ideally include more behavioral context (e.g., side effects, errors). The output schema mitigates some gaps, but overall completeness is adequate with clear room for improvement.

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 description coverage is 0%, and the description does not mention the 'tweet_id' parameter at all. However, with only one parameter, the agent can infer it from context, and the schema defines it as a required string. The baseline is 3 because the schema provides minimal but adequate structure, though the description adds no semantic value beyond the action.

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' states the basic action (verb 'like') and resource ('a tweet'), making the purpose clear. However, it does not differentiate from sibling tools like 'bookmark_tweet' or 'retweet', which also involve tweet interactions, nor does it specify that 'favorite' is synonymous with 'like' in Twitter's context, leaving some ambiguity.

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 provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., authentication, tweet accessibility), exclusions (e.g., cannot like own tweet if restricted), or compare to siblings like 'unfavorite_tweet' for reversal, leaving the agent to infer usage context.

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