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Teake1404

seo-data-api-mcp-server

by Teake1404

AIO Discover Brand

domainAioDiscoverBrand

Analyzes a domain, subdomain, or URL to discover brand names appearing in AI Overviews. Specify a country code and target to retrieve brand data.

Instructions

Fetch AI Overviews brand names (v1/domain/aio/discover-brand)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYesThe alpha-2 country code for the regional database. Example: us
targetYesThe domain, subdomain, or URL to analyze. Example: seranking.com
scopeNoThe scope of the analysis. Can be base_domain (domain and all subdomains), domain (specific host), or url (exact URL).base_domain
Behavior2/5

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

With no annotations provided, the description bears the full burden of disclosing behavioral traits. It only hints at a read operation ('Fetch') but omits any details about side effects, permissions, rate limits, or return format. The description is insufficient for an agent to understand the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise (one sentence), but it sacrifices utility for brevity. It could be considered efficient, but the lack of contextual information makes it less helpful. No structure or front-loading of key information is evident.

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?

Given the complexity (3 parameters, no output schema, no annotations), the description is incomplete. It fails to explain what the output contains, how results are structured, or any limitations. The tool's purpose is vaguely stated but not sufficiently elaborated for an agent to use it correctly without additional knowledge.

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?

The input schema covers all three parameters with descriptions (100% coverage), so the baseline is 3. The description adds no additional meaning beyond the schema; it does not clarify parameter usage or format beyond what is already in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Fetch AI Overviews brand names' provides a clear verb and resource, but it essentially restates the tool name and title without differentiation from sibling tools like domainAioKeywordsByBrand or domainAioOverview. It lacks specificity about what constitutes a 'brand name' in this context.

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 guidance is given on when to use this tool versus its siblings. The description does not mention any prerequisites, context, or scenarios where this tool is appropriate or not.

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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