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search_tiktok_users

Search TikTok users by keyword. Returns username, bio, follower/following counts, likes, and video count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pagesNoNumber of pages to fetch, 1-10 (default: 1)
queryYesSearch keyword (max 500 characters)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description must carry the full behavioral burden. It discloses the return fields and the search-by-keyword behavior, which is useful. However, it does not mention pagination behavior (though the pages parameter exists in schema), rate limits, or authentication requirements. The read-only nature is implied by 'search' but not explicitly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description consists of two short sentences that front-load the purpose and return information. There is no redundant or extraneous content, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a low-complexity search tool with 2 parameters (1 required), no output schema, and no annotations, the description covers the core purpose and return values. It is missing some minor details like pagination behavior and potential rate limits, but these are partially addressed by the schema (pages parameter). Overall, it is sufficiently complete for an agent to select and invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for both query and pages parameters, so the schema fully documents them. The tool description does not add any parameter-specific meaning beyond what the schema already provides, such as syntax or formatting. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Search TikTok users by keyword' with a specific verb and resource, and lists the return fields (username, bio, follower/following counts, likes, video count). This distinguishes it from sibling tools like search_tiktok (which likely searches videos) and tiktok_user_profile (which retrieves a single profile).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for keyword-based discovery of TikTok users but does not explicitly state when to use this tool versus alternatives such as search_tiktok or tiktok_user_profile. There is no mention of exclusions or preferred scenarios, so guidance is implied rather than explicit.

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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