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FlorianBruniaux

gsc-mcp

get_advanced_search_analytics

Fetch GSC search analytics with customizable search type, data state, dimensions, and row limit. Use when default settings are insufficient for detailed analysis.

Instructions

Fetch GSC search analytics with full control over search_type, data_state, dimensions, and row limit.

search_type: 'web' (default), 'image', 'video', or 'news'. data_state: 'final' (default, omit to use API default) or 'all' (includes fresh unverified data). dimensions: list of 'query', 'page', 'device', 'country', 'searchAppearance'. Use when get_search_analytics defaults are not sufficient.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteYes
row_limitNo
data_stateNo
dimensionsNo
search_typeNoweb
date_range_daysNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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 details parameter options but does not disclose side effects, authentication requirements, or rate limits. Since it is a read operation, safety is implied but not stated.

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

Conciseness5/5

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

The description is very concise, with a single introductory sentence followed by bullet-like parameter explanations. No extraneous words, and the purpose is front-loaded.

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?

Given the tool has 6 parameters, 0% schema coverage, and an output schema exists, the description covers the main controllable aspects. It could mention that it returns analytics rows, but the output schema handles that, so completeness is adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description compensates by explaining the allowed values for search_type, data_state, and dimensions. However, it does not explain the site, date_range_days, or row_limit parameters beyond their names.

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

Purpose5/5

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

The description starts with a clear verb 'Fetch' and specifies the resource 'GSC search analytics'. It lists controllable parameters, distinguishing it from the simpler sibling get_search_analytics.

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?

Explicitly states 'Use when get_search_analytics defaults are not sufficient', providing clear guidance on when this tool is appropriate versus the sibling. Could be slightly more explicit about when not to use it.

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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