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get_indexing_status

Indicizzazione: stato nell'indice Google delle pagine dal controllo notturno (URL Inspection di Search Console): conteggi (in indice, escluse, uscite negli ultimi 30 giorni, da controllare) e per pagina verdetto, motivo di Google (coverage_state), canonical scelto da Google, ultimo crawl, data di uscita. state: all | indexed | excluded | dropped | unknown. Paginato (max 100).

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": {
      "project_id": "<project_id>"
    },
    "name": "get_indexing_status"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
stateNo
offsetNo
project_idYesID progetto (da list_projects)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the data source and cadence (nightly URL Inspection), the scope of returned counts, and the pagination cap ('Paginato (max 100)'), which are useful non-obvious traits. However it omits read-only/auth requirements and rate behavior, so it is only partial.

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 dense, front-loaded sentence opening with the resource ('Indicizzazione'), followed by the state vocabulary and pagination note. Every clause carries information, though the run-on enumeration of per-page fields makes it slightly heavy.

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?

No output schema exists, so the description must describe returns, and it does: aggregate counts (in index, excluded, dropped in last 30 days, to check) plus per-page verdict, coverage_state reason, Google-chosen canonical, last crawl, and exit date. That is enough for an agent to know what it gets back; only auth/permission context is missing.

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 coverage is only 25% (only project_id documented). The description compensates partially by enumerating the state values and noting pagination max 100, matching the enum and the limit maximum. It adds no meaning to limit/offset semantics beyond the cap, so the low-coverage gap is only partly filled.

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+resource: the Google index status of pages, sourced from the nightly URL Inspection check in Search Console. It is clearly distinguishable from data-oriented siblings like get_gsc_performance or get_keywords, but it never explicitly names which sibling to prefer. Clear but without explicit sibling differentiation.

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 when-to-use, when-not-to-use, or alternative-tool guidance is given; the description only says what data exists. The mention of the 'controllo notturno' conveys data freshness implicitly but does not route the agent between this and other audit/status tools. Usage must be inferred.

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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