list_themes
List the public 主题 taxonomy group with its name, slug and categories.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List the public 主题 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 covered. The description adds the useful detail that only public themes are returned and enumerates the response fields, but says nothing about ordering, completeness, or nesting beyond the flat list.
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 padding. It is appropriately sized, though the untranslated '主题' alongside the English 'taxonomy group' reads slightly awkwardly.
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-parameter, read-only listing with no output schema, the description supplies the essential return shape (name, slug, categories) and scoping ('public'). Nothing else is strictly required to invoke it correctly; only ordering/pagination semantics are absent, which are minor here.
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 and the schema has additionalProperties: false, so there is nothing to disambiguate; baseline 4 applies. The description correctly implies a no-filter, return-everything call.
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?
Specific verb 'List' plus the resource 'public 主题 taxonomy group', and it names the returned fields (name, slug, categories). It implicitly separates itself from sibling taxonomies like list_dynasties or list_types by naming the theme group, though it never explicitly contrasts with 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?
There is no statement of when to call this versus the many sibling list_* taxonomy tools, and no prerequisites or exclusions. An agent must infer usage from the name alone; the only hint is 'public', which suggests reference data rather than user-scoped content.
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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