interpret_preview_feedback

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

No annotations exist, so the description carries full burden. It states the conversion but omits behavioral details such as whether it overwrites existing tags, requires pre-recorded feedback, or operates server-side.

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 short sentence, but it is not very informative. Conciseness is present but at the expense of necessary detail. Stucture is acceptable but minimal.

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?

Despite having an output schema (not shown), the description is incomplete. It does not explain the conversion process, dependencies on existing feedback, or side effects. More context is needed for a single-parameter tool.

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?

The single parameter 'feedback_note' has a schema with 0% description coverage (only title). The description adds no meaning beyond the property name, lacking format, constraints, or examples.

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 verb 'convert' and the resource 'free-form preview feedback into structured feedback tags,' effectively distinguishing it from siblings like record_preview_feedback (which records raw feedback) and list_feedback_tags (which lists existing tags).

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?

No guidance is provided on when to use this tool versus alternatives (e.g., record_preview_feedback for initial recording, list_feedback_tags for listing results). The description does not indicate prerequisites or exclusions.

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