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samalyxx

GSC SEO MCP

by samalyxx

brand_nonbrand_split

Separate your search performance into brand and non-brand traffic using specified brand terms to understand organic demand breakdown.

Instructions

Split performance into brand and non-brand search demand using configured or supplied brand terms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteUrlNoGoogle Search Console property URL, e.g. sc-domain:example.com or https://www.example.com/.
startDateNoStart date in YYYY-MM-DD. If omitted, days is used.
endDateNoEnd date in YYYY-MM-DD. If omitted, days is used.
daysNoLookback window when startDate/endDate are omitted.
brandTermsNo
limitExamplesNo
Behavior2/5

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

With no annotations, the description should disclose behavioral traits. It hints at using configured or supplied brand terms but does not explain if the tool modifies data, requires specific permissions, or has side effects. The brief description leaves many behavioral aspects unclear.

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 sentence with no redundancy. While it is concise, it could include more valuable details without becoming verbose.

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 tool's complexity (6 parameters, no output schema, no annotations) and many sibling tools, the description is insufficient. It lacks details on output format, how brand terms are used, what 'configured' means, and any prerequisites for successful use.

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 covers 67% of parameters with descriptions. The description adds minimal insight beyond the schema, only clarifying that brandTerms can be 'configured or supplied.' It does not explain limitExamples or the relationship between date parameters, so value added is marginal.

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 clearly states the tool's function: splitting performance data into brand and non-brand categories using brand terms. However, it does not explicitly differentiate from sibling tools like search_analytics or performance_overview, which could also provide performance data.

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 provided on when to use this tool versus alternatives (e.g., search_analytics). There are no examples or context about prerequisites or typical use cases.

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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