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leggi_analisi_seo_yoast

Reads the actual Yoast SEO verdict for a product from wp-admin to show remaining issues, improvements, and passing checks after an SEO update, before closing the task.

Instructions

Legge il verdetto REALE di Yoast per un prodotto (problemi, miglioramenti, risultati buoni), cosi' come appare nell'editor di wp-admin - non un'approssimazione: e' l'analisi calcolata da Yoast stesso. Usalo dopo aggiorna_seo_prodotto per sapere se manca ancora qualcosa (es. un link in uscita, lunghezza minima del testo) prima di considerare chiuso il lavoro.

Input Schema

NameRequiredDescriptionDefault
prodotto_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden; it discloses that this is a read of Yoast's own computed analysis and enumerates the content categories returned (problemi, miglioramenti, risultati buoni), which is valuable since there is no output schema. It omits any mention of permissions, caching/staleness, or behavior when analysis hasn't been run.

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?

Front-loads the core claim (real Yoast verdict) and then the workflow guidance; two sentences, both earning their place. The 'non un'approssimazione: e' l'analisi calcolata da Yoast stesso' clause is slightly redundant with 'verdetto REALE' but serves differentiation.

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

Completeness4/5

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

With no annotations and no output schema, the description compensates by explaining what the result contains and how it fits into the SEO update workflow. A reader knows enough to call it correctly; only edge-case behavior (missing/invalid prodotto_id, unanalyzed product) is unaddressed.

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?

Only one parameter with 0% schema description coverage, but its name prodotto_id is self-explanatory, so the description loses little by not elaborating. No added meaning about the identifier's format or source is given, keeping this at an adequate baseline.

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?

States a specific verb (legge) and resource (analisi SEO Yoast di un prodotto), and explicitly frames itself as the authoritative verdict rather than an approximation, which implicitly separates it from approximation-style siblings. It does not explicitly name leggi_seo_prodotto, so an agent must still infer which sibling is the approximation.

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?

Gives an explicit usage sequence: 'Usalo dopo aggiorna_seo_prodotto' and the goal of checking whether anything is still missing (e.g., an outbound link, minimum text length). That is clear when-to-use guidance tied to a named sibling, though it never states when not to use it or what to use instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.