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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds that the tool returns an official page rather than performing an action, but it does not elaborate on output specifics or behavior beyond that.

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 with no filler. The use condition is front-loaded, and the return behavior is stated directly. Every sentence earns its place.

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 single-parameter tool with full schema coverage, a read-only annotation, and an output schema, the description is largely sufficient. It could more explicitly disambiguate from get_alteration_options, but an agent can invoke this tool correctly with the given information.

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 already provides 100% coverage and clearly documents the experience enum. The description loosely maps aspiring/experienced to the two use cases, which adds minimal value but does not meaningfully go 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 clear verb-resource pair ('Returns the appropriate official Seamgrin page') and identifies two target user intents. It is distinguishable from action-oriented siblings like apply_for_tailor_training and register_experienced_tailor_interest, though it does not explicitly name or contrast them.

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?

It explicitly states when to use the tool: for someone wanting to learn tailoring or for an experienced tailor seeking paid opportunities. It does not provide exclusions or name alternative siblings like get_alteration_options, but the use condition is clear and actionable.

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