engage_with_tweet

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

No annotations are provided, so the description must disclose behavioral traits. It mentions the return value (success boolean) and constrains the action parameter, but it does not discuss potential side effects, rate limits, authorization requirements, or error scenarios. Adequate but lacks depth.

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 two sentences long, with the first sentence defining the tool's actions and the second providing usage context and return info. It is front-loaded and contains no redundant or unnecessary words.

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 simplicity, the description covers purpose, usage, parameters, and return value. The presence of an output schema reduces the need to describe return details. However, it lacks guidance on error handling or prerequisites (e.g., user authentication), which slightly reduces completeness.

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 100%, so the schema already documents both parameters with descriptions. The description reiterates the action enum options and implies the tweet_id's role, adding minimal value beyond the schema. Baseline 3 is appropriate.

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 explicitly states the action set (like, retweet, bookmark) and the target (tweet). It clearly distinguishes from sibling tools like 'post_tweet' or 'draft_quote_tweet' by focusing on engagement actions on existing tweets.

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 clear context for when to use the tool ('when the LLM needs to interact with content on X/Twitter') and concrete examples. It does not explicitly state when not to use it, but the context is sufficient to differentiate from posting or drafting tools.

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