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

Annotations provide no meaningful safety signal (readOnlyHint is false), so the description carries the burden. It usefully discloses that the tool does not send or publish anything, that first names stay transient, and that output comes from curated collections. It does not mention randomness or whether previousCodes affect results, but the essential side-effect and privacy behavior is covered.

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?

Three short, purposeful sentences: purpose first, then output source, then side-effect and privacy guarantees. Every sentence contributes, and there is no filler or repetition of the title.

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 zero-required-parameter text-generation tool with no output schema, the description supplies the key operational context: what it returns, where the content comes from, and that it has no external publishing side effects. It could be more complete by naming list_greeting_options or describing the return shape, but the schema already points to list_greeting_options for locale support.

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 75%, so most parameter meaning already lives in the schema. The description only lightly reinforces the role of 'occasion' and 'first name' and adds no new detail about how parameters interact. This meets the baseline but adds little beyond the 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 uses a specific verb and resource: 'Generate a short, coherent, family-friendly greeting for an occasion.' It also clarifies the output nature ('complete phrases from curated language collections') and states what the tool does not do ('Does not send or publish anything'), which distinguishes it from the card-creation sibling.

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 use case is implied: call this when you need greeting text for an occasion. However, it does not explicitly say when to prefer generate_greeting over create_greeting_card or list_greeting_options, so the agent must infer routing rather than being guided.

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