seo__youtube_seo_check
[搜尋引擎與 AI 爬蟲工具箱]檢查 YouTube 章節時間碼(0:00 起、至少 3 段、每段 10 秒)與標題、說明、標籤、主題標籤數量上限。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tags | No | ||
| title | No | ||
| chapters | No | ||
| duration | No | ||
| description | No |
[搜尋引擎與 AI 爬蟲工具箱]檢查 YouTube 章節時間碼(0:00 起、至少 3 段、每段 10 秒)與標題、說明、標籤、主題標籤數量上限。
| Name | Required | Description | Default |
|---|---|---|---|
| tags | No | ||
| title | No | ||
| chapters | No | ||
| duration | No | ||
| description | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry behavioral weight, and it does disclose concrete validation rules the agent could not otherwise know (chapter must start at 0:00, minimum 3 segments, 10s per segment, count caps). It stops short of stating that the operation is non-mutating, what permissions are needed, or how violations are reported.
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 that leads with the resource and immediately supplies the rule thresholds. The bracketed toolbox tag is boilerplate, but the substantive content is dense and waste-free.
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 5-parameter, zero-annotation tool with no output schema, the definition is thin: it does not say what the response contains, whether results are pass/fail or itemized per field, or in what format inputs must be supplied. An agent can guess the intent but not how to call it 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 0% across all 5 parameters, so the description must compensate. It names the validated fields (title, description, tags, chapters) but gives no input syntax (e.g., how chapter timecodes must be formatted) and never mentions the 'duration' parameter at all, leaving the required input formats undocumented.
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?
States a specific verb (檢查/check) and a precisely bounded resource: YouTube chapter timestamps plus title/description/tag/hashtag limits. The rule details (0:00 start, ≥3 segments, 10s each) make the scope unmistakable, and no sibling tool overlaps with YouTube metadata validation.
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 never states when to use this tool, in what workflow (pre-publish audit, post-edit verification), or how it relates to any sibling such as generate_meta_tags. Usage is only inferable from the name.
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.