tiktok_video
TikTok视频详情
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| _token | No | 备用鉴权:fw_ 开头的 token(推荐改用 HTTP Header X-FW-Token,二选一) | |
| item_id | Yes | 视频ID |
TikTok视频详情
| Name | Required | Description | Default |
|---|---|---|---|
| _token | No | 备用鉴权:fw_ 开头的 token(推荐改用 HTTP Header X-FW-Token,二选一) | |
| item_id | Yes | 视频ID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure, yet it says nothing about whether this is a read operation, what authentication is required (the _token param hints at auth but the description is silent), rate limits, or what is returned. It adds no behavioral context whatsoever.
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?
It is extremely short, but this is under-specification rather than conciseness. A single noun phrase with no verb and no front-loaded purpose statement does not earn its place as a description.
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 two-parameter tool with no annotations and no output schema, the description should explain what 'details' are returned and any auth requirements. The bare phrase leaves the agent without anything needed to invoke the tool correctly.
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?
Schema description coverage is 100%: item_id ('视频ID') and the fallback _token parameter are both documented in the schema. The description adds nothing beyond the schema, so the baseline of 3 applies.
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 phrase 'TikTok视频详情' identifies the resource (a TikTok video) and implies a detail-retrieval purpose, and the platform prefix does differentiate it from siblings like douyin_video, ks_video and yt_video. But there is no verb and no statement of scope, so the purpose is only vaguely conveyed.
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 guidance on when to use this tool versus tiktok_search or any other sibling. The platform name implicitly scopes it to TikTok content, but no conditions, prerequisites, or alternatives are stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.