queue_engagement

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

With no annotations, the description carries the full burden. It discloses queuing behavior and the special 'auto' reply generation. However, it lacks details on side effects, error handling, or limits, which would be helpful for safe invocation.

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?

Two sentences, each adding value. The first states the core purpose, the second explains the unique reply option and the queue delay. 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?

The description covers the queuing mechanism and special reply behavior. Given the presence of an output schema (so return values are documented there), the description is fairly complete. However, it could mention prerequisites or error conditions for a fuller picture.

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%, so the description must compensate. It explains 'action' values and that 'reply' requires 'text' with 'auto' behavior. However, 'account' and 'tweet_url' are not explained at all, leaving gaps.

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. It specifies the possible actions and distinguishes from siblings like 'engage' (immediate action) and 'process_queue' (execution). The verb 'queue' and resource 'engagement' are well-defined.

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 mentions 'for paced execution' and explicitly states nothing executes until process_queue is called, providing clear context for when to use this tool (when pacing is needed). However, it does not explicitly mention alternative tools for immediate actions.

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