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tiktok-download-video

get challenge post videos

get_challengePosts

get challenge post videos Group: Challenge(hashTag). Billing per call: 1 Credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNomax 35 default 10
cursorNohasMore is True. load more
regionNoGet challenge videos for different regions
challenge_idNochallenge_id (hashTag ID)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions billing ('1 Credits per call') but does not disclose pagination behavior (except implicitly via cursor schema), rate limits, authentication requirements, or what happens with invalid challenge IDs. The description is minimal and lacks meaningful behavioral context beyond cost.

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 is extremely concise, consisting of only two short sentences. It front-loads the purpose, then adds useful context (group and billing). Every word serves a purpose, with no fluff or redundancy. This is efficient and well-structured.

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

Completeness2/5

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

For a tool with 4 parameters and no output schema, the description is insufficiently complete. It does not explain what the return value looks like (e.g., a list of videos with metadata), how to handle pagination (though cursor is mentioned in schema), or any edge cases like empty results or error conditions. Without annotations, the description should provide more context to help the agent know what to expect.

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?

The schema description coverage is 100%, so the baseline is 3. The description itself does not add any extra meaning to the parameters; it only repeats the function name. The schema already explains count, cursor, region, and challenge_id with examples and constraints, so the description adds no value here.

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 'get challenge post videos' which specifies the action (get) and resource (challenge post videos). It also clarifies that 'Challenge' refers to hashtag via 'Group: Challenge(hashTag)', distinguishing it from sibling tools like get_challengeInfo (which gets challenge metadata) and get_challengeSearch (which searches challenges).

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 provides no explicit guidance on when to use this tool versus alternatives. However, the schema parameter 'challenge_id' implies it should be used when a challenge ID is known, and siblings like get_challengeSearch likely help find that ID. The context is implied but not explicitly stated. There are no usage exclusions or alternative tool recommendations.

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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