get_flavor_profile

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

No annotations are present, so the description carries the behavioral burden. It clearly indicates a read/query operation and usefully discloses that data not yet collected is honestly labeled. It does not mention response formatting, error cases, or access requirements, so coverage is helpful but partial.

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 front-loaded sentence: the target resource comes first, followed by the content details and the honest-labeling behavior. It is compact, though the phrase '含待采集诚实标注' is slightly awkward and could be clearer.

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 one-required-parameter read tool with no output schema, the description covers the main return aspects: dominant flavor words, official/community sources, and incomplete-data labeling. It would be stronger with an example of the expected output structure, but the essential information needed to invoke it correctly is present.

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% since the only parameter, distilleryId, has a description ('酒厂 id'). The tool description merely reinforces that the profile belongs to a specific distillery but adds no additional parameter details beyond what the schema already provides.

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 names a specific verb ('查', query) and a clear resource (a distillery's flavor profile), then details what is included: dominant flavor words, official/community sources, and honest labeling of uncollected data. This distinguishes it from siblings like get_distillery and search_whisky.

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?

Usage is implied: this tool is for querying a distillery's flavor profile rather than listing distilleries, products, or recommendations. However, it does not explicitly mention alternatives or state when not to use this tool, so no direct exclusionary guidance is provided.

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