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搜尋引擎與 AI 爬蟲工具箱

serp_preview

預覽 Google 搜尋結果標題與描述,估算中文像素寬度與截斷位置。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
titleYes
descriptionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, but 'preview' and 'estimate' do convey a non-mutating, computational operation. It does not state it is read-only, whether the url parameter affects rendering, or what the response contains, leaving real gaps 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.

Conciseness4/5

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

A single front-loaded sentence that wastes no words and puts the action and the outputs first. It is efficient, though it packs two distinct ideas (preview and pixel estimation) without separating them.

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

Completeness3/5

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

For a simple three-parameter, no-output-schema utility this is close to adequate, but with no annotations and 0% schema coverage the description should explain the url parameter and the shape of the preview result. It is the minimum viable level for this complexity.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate and largely fails to. It references 標題 and 描述 conceptually, matching two of three params, but omits the url parameter entirely and adds no format, length, or default semantics.

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

Purpose4/5

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

The description gives a specific verb (預覽/preview) and resource (Google 搜尋結果標題與描述) plus the computed outputs (中文像素寬度, 截斷位置). This is far more concrete than a generic 'SERP tool' and clearly distinct from siblings like generate_meta_tags. It stops short of explicitly naming which sibling it replaces.

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

Usage Guidelines2/5

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

No statement of when to use this versus alternatives such as generate_meta_tags or check_site_crawlers, and no prerequisites or exclusions. Usage is only inferable from the purpose (drafting/validating titles).

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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