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Rachit8484

geoseo-mcp

by Rachit8484

gsc_performance

Query Google Search Console search analytics data by site URL, date range, dimensions, and filters to analyze search performance.

Instructions

Query GSC search analytics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
site_urlYesThe property as it appears in GSC (e.g. ``sc-domain:example.com`` or ``https://example.com/``).
start_dateNoISO date (YYYY-MM-DD). Defaults to 28 days ago.
end_dateNoISO date. Defaults to 2 days ago (GSC has ~2-day latency).
dimensionsNoOne or more of ``query``, ``page``, ``country``, ``device``, ``date``, ``searchAppearance``. Defaults to ``["query"]``.
row_limitNoMax rows (capped at 25,000).
search_typeNo``web``, ``image``, ``video``, ``news``, or ``discover``.web
countryNoISO 3166-1 alpha-3 country filter (e.g. ``usa``).
deviceNo``desktop``, ``mobile``, or ``tablet``.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, rate limits, data latency, or that the tool queries historical data with default dates. Without annotations, the description should fill this gap but fails to do so.

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 at two words, which is efficient but at the cost of necessary detail. It front-loads the verb but provides no structure or additional context that earns its presence.

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?

Despite the existence of an output schema, the description fails to provide sufficient context for a tool with 8 parameters and many sibling tools. It does not mention typical use cases, what the output represents, or how to interpret results, making it incomplete.

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%, with all parameters having adequate descriptions within the schema. The tool description itself adds no additional semantic meaning beyond what the schema already provides, so the baseline of 3 is appropriate.

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 states 'Query GSC search analytics', which specifies a verb and a resource, but it is overly generic and does not differentiate this tool from sibling tools like gsc_inspect_url or snapshot_gsc. It conveys the basic purpose but lacks specificity.

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 on when to use this tool versus alternatives such as gsc_inspect_url or trend_gsc. The description provides no context about preferred use cases or conditions that would make this tool appropriate.

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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