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

With no annotations provided, the description carries the full burden of explaining behavior. It states the intent but does not disclose what happens after submission (e.g., whether feedback is stored, sent, or acknowledged), nor does it mention any side effects or constraints. This is a gap for a write operation.

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 two sentences long, front-loaded with the action, and every word adds value. It efficiently communicates what the tool does and what kinds of feedback are accepted.

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?

This is a simple submit-feedback tool with a well-documented schema. The description is adequate for the tool's complexity, though it could mention the outcome of submission (e.g., confirmation). With no output schema, a brief note on what the user should expect would improve completeness, but it's not severely lacking.

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%, and the schema provides detailed descriptions for all 7 parameters. The description itself adds no parameter-level semantics, so a baseline score of 3 is appropriate.

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 uses a specific verb ('Submit feedback') and clearly identifies the resource ('your AgentLux experience'). It explicitly lists the types of feedback (bugs, friction, confusion, suggestions, praise), making its purpose unmistakable and distinguishing it from any sibling tool.

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 clearly indicates when to use the tool: whenever a user wants to provide feedback about AgentLux. It doesn't explicitly exclude alternatives, but no sibling tool targets feedback, so the usage context is clear without needing explicit exclusions.

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