list_seasons
List the public 时令 taxonomy group with its name, slug and categories.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List the public 时令 taxonomy group with its name, slug and categories.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered. The description adds one genuine detail beyond that — the result is limited to the 'public' taxonomy group — but says nothing about ordering, or whether the group could be empty or localized.
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?
A single front-loaded sentence with no filler; the scope ('public') comes before the payload description (name, slug, categories). Nothing could be cut without losing information.
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-argument read tool with rich annotations and no output schema, the description supplies the essential shape of the response (name, slug, categories) and the public-only scope. Only the absence of output structure detail keeps it from a 5, and that is minor at this complexity.
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 tool takes zero parameters, so there is nothing for the description to disambiguate; baseline applies. Schema coverage is 100% and the empty input schema is self-explanatory.
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 (list) and a specific resource (the 时令/seasons taxonomy group), and enumerates the returned fields (name, slug, categories). That is enough to distinguish it from sibling list_* taxonomy tools such as list_festivals or list_solar_terms, though the untranslated term 时令 slightly muddies what the group actually covers.
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 description gives no when-to-use guidance and names no alternatives, even though a cluster of near-identical taxonomy listers exists (list_themes, list_cipai, list_festivals, list_solar_terms, list_dynasties). An agent must infer from the names alone why it would pick seasons over festivals.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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