clear_day_content

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

No annotations are provided, so the description carries the full burden. It warns about data loss prevention, but does not disclose whether the operation is reversible, what the return value indicates, or any authorization requirements. Basic transparency 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 concise with two short sections: a purpose line and a note. It is front-loaded and efficient, though the Args list is somewhat repetitive.

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 the main purpose and a key constraint. However, it does not explain what 'activity conversion' means, and the return values are presumably covered by the output schema. Some missing context for a complete understanding.

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 coverage is 0%, so the description must compensate. It lists the two parameters (trip_id, day_id) but provides no meaning beyond the names. The schema also lacks descriptions, so the description fails to add value for parameter understanding.

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 states the tool clears the markdown content of a day, specifically for cleanup after activity conversion. This clearly identifies the verb and resource, and the context distinguishes it from sibling tools like delete_day.

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 explicit context: use after activity conversion, and includes a note that execution is forbidden when there are 0 activities to prevent data loss. It does not mention alternative tools, but the context is clear.

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