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Analiză SEO

check_article_seo
Read-onlyIdempotent

Cât de bine e scris textul ca articol SEO: număr de cuvinte, linkuri, titluri, imagine, meta. Fiecare constatare are deFacut. Scorul nu spune dacă textul poate fi publicat pe un anumit tip de campanie.

Use when the user wants feedback on how well a text is written for SEO. Do not use when checking whether it meets a campaign type: use check_article_fit.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "articleId": "<articleId>"
    },
    "name": "check_article_seo"
  }
}

Input Schema

NameRequiredDescriptionDefault
articleIdYesArticolul, din list_articles sau create_article.

Output Schema

NameRequiredDescriptionDefault
scoreNonumber 0–100. Share of SEO checks passed; not a ranking promise.
statsNoobject. Word count, headings, images, links, keyword count and density, title and meta length.
issuesNoarray of {code, severity, deFacut}. Findings, each with what to fix.
outlineNoarray of {level, text}. Heading structure.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • changedInput schema / properties / articleId / description
      Previous value: -"Id-ul articolului (UUID), din list_articles sau create_article."New value: +"Articolul, din list_articles sau create_article."
    • removedInput schema / properties / articleId / pattern
      Removed value: -"^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": {},
      +  "properties": {
      +    "issues": {
      +      "description": "array of {code, severity, deFacut}. Findings, each with what to fix."
      +    },
      +    "outline": {
      +      "description": "array of {level, text}. Heading structure."
      +    },
      +    "score": {
      +      "description": "number 0–100. Share of SEO checks passed; not a ranking promise."
      +    },
      +    "stats": {
      +      "description": "object. Word count, headings, images, links, keyword count and density, title and meta length."
      +    }
      +  },
      +  "type": "object"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / articleId / description
      Added value: +"Id-ul articolului (UUID), din list_articles sau create_article."
  3. Changed2 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / articleId / pattern
      Added value: +"^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
  4. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description still adds real context beyond them: each finding carries a `deFacut` field, and the score is explicitly scoped to SEO quality rather than campaign-type publishability, which prevents misreading the result. It omits any note on cost, auth, or latency, which keeps it short of a 5.

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?

The content is front-loaded: what is checked comes first, then the output shape, then the routing instructions. The only waste is mild redundancy, since the campaign-publishability caveat appears once as a scope note and again as the 'Do not use' clause, though the repetition does reinforce correct routing.

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

Completeness5/5

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

An output schema exists, so return values need not be explained, and the description still previews the finding structure (`deFacut`) and the scope limit of the score. With one required parameter and full schema coverage, an agent has everything needed to select and call this tool correctly.

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?

There is a single parameter (articleId) with 100% schema description coverage, and the schema already tells the agent to source it from list_articles or create_article. The description adds no further meaning about the identifier, so the baseline of 3 for high schema coverage applies.

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 names a specific verb (checking/analyzing) and a specific resource (an article's SEO quality), then enumerates exactly what is inspected: word count, links, headings, image, meta. It explicitly contrasts itself with the sibling check_article_fit, so an agent can route between the two without opening either schema.

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

Usage Guidelines5/5

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

Both directions are stated: 'Use when the user wants feedback on how well a text is written for SEO' and 'Do not use when checking whether it meets a campaign type: use check_article_fit.' The exclusion names the exact alternative tool, leaving nothing to inference.

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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