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hna2810

seo-crawler-mcp

by hna2810

classify_single_url_or_text

Classify a URL, title, or text into a hierarchical taxonomy (Topic, Subtopic, Specific Topic, Context, Location) without crawling the entire website.

Instructions

Phân loại tức thì một bài viết, tiêu đề hoặc từ khóa tìm kiếm thành Topic -> Subtopic -> Specific Topic -> Context -> Location mà không cần crawl cả website.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
h1NoTiêu đề thẻ H1 (tùy chọn)
urlNoURL hoặc slug bài viết (ví dụ: /dich-vu-tam-be-tai-nha-ha-noi-gia-bao-nhieu)
titleNoTiêu đề bài viết hoặc câu hỏi tìm kiếm (ví dụ: 'Dịch vụ tắm bé tại nhà Hà Nội giá bao nhiêu?')
headingsNoDanh sách tiêu đề phụ H2, H3 (tùy chọn)
mainTextNoĐoạn văn trích dẫn hoặc nội dung chính (tùy chọn)
boldKeywordsNoCác từ khóa in đậm strong/b (tùy chọn)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses helpful behavioral traits: instantaneous execution and that it does not crawl the website. But it does not describe what happens when multiple optional fields are supplied, the output format, or any edge cases. Some behavioral context is present, but significant gaps remain.

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?

A single, front-loaded sentence conveys the action, target, output hierarchy, and a key distinguishing behavior (no crawling). There is no fluff, and every phrase earns its place.

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?

The description covers the core purpose and output taxonomy, but with 6 optional parameters and no output schema, it leaves invocation details unstated — such as whether at least one input must be provided or how the tool prioritizes inputs. For a tool of this complexity, the description is adequate but not fully complete.

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%, and each parameter already has descriptive examples in the schema, so the baseline is 3. The description adds the classification hierarchy concept but does not add parameter-level meaning beyond the schema. This is acceptable given the schema's thoroughness.

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 states a specific action ('classify'), a clear resource (an article, title, or search keyword), and a structured output taxonomy. It also distinguishes itself from crawl-based siblings by explicitly saying 'không cần crawl cả website' (without crawling the whole website). This makes the tool's purpose immediately clear and differentiated.

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

Usage Guidelines4/5

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

The description clearly implies this tool is for single pieces of content rather than full-site crawling, and it positions itself as an instant alternative to crawling. However, it does not explicitly name sibling alternatives like classify_content_topics or state exclusion conditions, so some inference is required.

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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