list_1
Retrieve trending content from Douyin (TikTok China) including videos, user profiles, posts, comments, music, challenges, and live streams through API access.
Instructions
list
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve trending content from Douyin (TikTok China) including videos, user profiles, posts, comments, music, challenges, and live streams through API access.
list
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. The single word 'list' gives no indication of what the tool actually does operationally - whether it's a read-only query, what data it returns, if there are rate limits, authentication requirements, or any side effects. This is completely inadequate for a tool with zero annotation coverage.
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?
While technically concise with a single word, this represents under-specification rather than effective brevity. The description fails to convey any meaningful information about the tool's function, making it inefficient for agent comprehension despite its minimal length.
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?
The description is completely inadequate given the context. With no annotations, no output schema, and numerous sibling tools that likely overlap in function, a single word 'list' provides insufficient information for an agent to understand what this tool does, how it differs from alternatives, or what to expect from its operation.
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 has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description doesn't need to compensate for any parameter gaps, and the empty input schema is self-explanatory. A baseline of 4 is appropriate since there are no parameters to document.
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 'list' is a tautology that merely restates the tool name 'list_1', providing no additional information about what specific resources or data are being listed. It fails to distinguish this tool from its many sibling tools (like 'list', 'list_2', 'list_3', 'hotlist', etc.), leaving the purpose completely ambiguous.
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 provides absolutely no guidance on when to use this tool versus alternatives. With numerous sibling tools that likely perform similar listing operations (e.g., 'list', 'list_2', 'hotlist', 'searchlist'), the absence of any context or differentiation makes it impossible for an agent to determine appropriate usage scenarios.
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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