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

Annotations already establish that this is a non-read-only, non-destructive, non-open-world operation. The description adds useful behavioral context: the team reads every submission and the message should capture what happened in the user's own words.

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 front-loaded with the core action and then adds only relevant scoping, content, and usage details. Every sentence contributes to correct invocation without unnecessary repetition.

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?

For a simple three-optional-parameter feedback tool with no output schema, the description covers purpose, trigger conditions, content expectations, and design scoping. It does not describe the post-submit response or privacy details, but annotations and schema cover the critical structured information.

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 each parameter is already documented in the schema. The description reinforces that rating, message, or both may be provided and that design_id scopes feedback to one design, but it adds little beyond the structured schema.

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 a specific verb and resource: send feedback to the Koppar team, either generally or about one design. It names the supported content types (rating, message, design_id) and is easily distinguishable from the hardware/design sibling tools.

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?

It gives explicit trigger conditions: use when the user asks to pass something on or describes what worked or did not work. It does not name alternatives or exclusions, but none are apparent among the siblings, so the guidance is clear without being fully exhaustive.

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