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

With no annotations, this description carries the behavioral burden. It does disclose that an api_key is optional and that 'Every report is read,' which is helpful. However, it does not describe expected response/acknowledgment, error behavior, or any side effects, leaving some uncertainty about what happens after the call.

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 focused sentences with no filler. Each clause adds information: the purpose, the deal_review syntax, api_key optionality, and the read guarantee. The description is front-loaded with the most important information.

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?

All six parameters are documented in the schema, and the description covers overall intent plus the special deal_review case. Since there is no output schema, a brief note about what the caller should expect back (e.g., a simple acknowledgment) would make it fully complete, but the current level is sufficient for a feedback 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?

Schema coverage is 100%, so the baseline is 3. The description adds real value by mapping 'kind' to real-world scenarios and specifying the exact parameter combination for deal_review (kind=deal_review with about=<bid_id> and rating 1-5), which clarifies relationships not obvious from the schema alone.

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 ('Tell') and names the resource ('the Duami team'), then enumerates concrete feedback categories (bug, confusion, idea, praise, deal review). This clearly separates it from sibling tools like send_message or rate_counterparty by indicating the recipient and intent.

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 gives clear context for when to use the tool ('what broke, what was confusing, what you wish existed, or how a fulfilled deal went') and includes a precise usage pattern for deal_review. It does not explicitly mention alternatives or say when not to use it, but the use cases are specific enough for an agent to route correctly.

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