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guifreballester-seranking

SE Ranking SEO Data API MCP Server

AIO Overview

domainAioOverview

Retrieve AI Overviews domain metrics to analyze visibility and presence in AI-driven search results. Specify source country and target domain to get data.

Instructions

Fetch AI Overviews domain metrics (v1/domain/aio/overview)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNoThe scope of the analysis. Can be base_domain (domain and all subdomains), domain (specific host), or url (exact URL).base_domain
sourceYesThe alpha-2 country code for the regional database. Example: us
targetYesThe domain, subdomain, or URL to analyze. Example: seranking.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Fetch' implies a read operation, but the description does not cover limits, authorization, scope behavior, or what the response contains.

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 description is a single concise sentence with no filler, and it front-loads the core action and resource before the endpoint. It could include more guidance, but what is present is efficient.

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

Completeness2/5

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

With no output schema and no annotations, the description needs to compensate by explaining what metrics are returned and how this tool relates to similar AIO tools. It does neither, leaving the tool underspecified for an agent operating in a large sibling set.

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%, so the parameter semantics are already fully documented in the schema. The description adds no extra meaning beyond the endpoint and general resource type.

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 uses a specific verb ('Fetch') and a clear resource ('AI Overviews domain metrics'), so an agent can infer the operation. However, it does not distinguish this tool from the related AIO sibling tools like domainAioDiscoverBrand or domainAioKeywordsByTarget.

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?

There is no guidance about when to use this tool versus the many sibling tools. The description simply states what it fetches, leaving the agent to guess whether this is the right tool for a given task.

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