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

No annotations are provided, so the description carries the full disclosure burden, and it does explain the non-obvious internal behavior: it resolves country and field names for you (China→cn, 'SWIFT code'→swift) and emits a format-true value. It stops short of stating that the call is side-effect-free or how determinism works (the seed param is left to the schema), so it is strong but not exhaustive.

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 sentences, front-loaded with the tool's job, then the resolution mechanic, then the sibling routing. Every clause earns its place — the example phrasings double as usable query samples.

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?

With no output schema, the description supplies the essential return-value information ('generates a format-true value') and clarifies the input's semantics, which is what an agent needs to call it correctly. It could say slightly more about what a multi-count response looks like, but nothing critical is missing for a 4-parameter generator.

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%, so the schema already documents query, seed, count, and format, making a 3 the baseline. The description reinforces the query parameter with natural-language examples and implies the resolution semantics of that input, but adds no syntax guidance beyond what the field description already gives.

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?

States a specific verb and resource ('Fetch synthetic test data') plus the distinguishing input mode ('from a natural request when you don't know the exact spec'). The examples and the direct routing line to sampuli_generate let an agent tell this apart from its sibling without opening either schema.

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?

Explicitly names the condition for this tool ('when you don't know the exact spec') and the condition for the alternative ('Prefer sampuli_generate when you already have a spec like "cn.swift"'). Both when-to-use and when-not-to-use are stated with a concrete example.

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