queue_engagement

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

Annotations are minimal (non-readOnly, non-destructive), and the description compensates by disclosing queuing behavior, the 'auto' feature for reply text that scrapes the tweet now, and the requirement to call process_queue for execution. This is sufficient for understanding the tool's safety and behavior.

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?

Three concise sentences, each adding value. The first states the core purpose, the second explains the action parameter and reply requirement, and the third clarifies execution dependency. No wasted 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 4-parameter input schema and output schema presence, the description covers the essential behavioral aspects: queuing, deferred execution, and the special reply behavior. It could hint at list_queue or cancel_queued_action for completeness, but the current content is adequate for an agent to use the tool correctly.

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?

With 0% schema description coverage, the description adds significant meaning: it explains that 'action' must be like/retweet/reply (though no enum in schema), that reply requires 'text', and that 'auto' generates a reply immediately. It clarifies the interplay between action and text, though account and tweet_url are not elaborated.

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 clearly states the tool queues a like, retweet, or reply, specifying the action parameter and that reply requires text. It distinguishes itself from process_queue which executes the queue, and from siblings like engage and reply_to_tweet by emphasizing paced execution.

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 explains that the tool is for queuing actions and that nothing executes until process_queue is called, providing clear guidance on deferred execution. However, it does not explicitly compare with immediate-action siblings like engage or reply_to_tweet, leaving some ambiguity about when to choose this tool.

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