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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the safety profile is covered. The description adds useful context about the output scope ('Returns matching wines from the portfolio across 4 tiers (Entry to Grand Cru)'), but it does not disclose any additional behavioral details such as result limits or sorting logic. The addition of the German translation is redundant but doesn't contradict annotations.

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 concise, with two sentences (the English and German versions essentially repeat each other). It is front-loaded with the main purpose and criteria, and the tier information adds value. The German duplication is minor redundancy but keeps it brief overall.

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 recommendation tool with 5 optional parameters and no output schema, the description adequately covers the tool's purpose, criteria, and output scope ('matching wines from the portfolio across 4 tiers'). It does not explain ranking or result limitations, but given the read-only nature and simple use case, the description is sufficiently complete.

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 input schema provides descriptions for all 5 parameters, covering 100% of the semantics. The description groups these into four categories (style, food pairing, occasion, budget) but does not add any syntax, format, or constraint details beyond what the schema already provides. This meets the baseline for high schema coverage.

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 the specific verb 'Recommend' with a clear resource ('Dreissigacker wines') and enumerates the matching criteria (style, food pairing, occasion, budget). It is clear in what it does, but it does not explicitly differentiate itself from the sibling tool 'dreissigacker_food_pairing', which could overlap in food pairing recommendations.

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?

There is no guidance on when to use this tool versus alternatives. Given the existence of 'dreissigacker_food_pairing' as a sibling, the description misses an opportunity to clarify that this tool is for general recommendations across multiple criteria, while the sibling may be more specialized. No exclusions or alternative scenarios are mentioned.

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