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mario-hernandez

google-search-console-mcp-claude-code

search_analytics

Query custom Search Analytics data for any Google Search Console property. Filter by dimensions, date range, and search type to analyze performance.

Instructions

Custom Search Analytics query.

Args: site_url: Property URL. start_date / end_date: ISO YYYY-MM-DD. dimensions: e.g. ["query"], ["page"], ["query","page"], ["country"], ["device"]. row_limit: Max rows (server-side cap 25000). search_type: "web" | "image" | "video" | "news".

IMPORTANT: Use ONLY the data returned by this tool. Do not speculate about figures, do not extrapolate beyond the time range queried, and cite site_url + date_range when reporting numbers to the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
site_urlYes
start_dateYes
end_dateYes
dimensionsNo
row_limitNo
search_typeNoweb
Behavior4/5

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 explains parameters and mentions a server-side cap (25000) for row_limit. However, it does not disclose whether the tool is read-only or rate limits.

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 concise and uses newlines to separate the overview, parameter list, and important note. It could be more structured (e.g., bullet points) but remains efficient and front-loads the purpose.

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?

Covers all 6 parameters with examples and crucial usage guidelines. However, since no output schema exists, the description omits the return format, which could be inferred but is not explicit.

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

Parameters5/5

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

Schema description coverage is 0%, and the description fully compensates by explaining each parameter: site_url as 'Property URL', date range as 'ISO YYYY-MM-DD', dimensions with examples, row_limit cap, and search_type values.

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 performs a 'Custom Search Analytics query' for Google Search Console data, with specific parameters. However, it does not distinguish itself from sibling tools like 'alerts' or 'cannibalization', which could cause confusion.

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?

Includes an important note instructing users to only use returned data and cite site_url and date_range, providing clear usage context. Does not explicitly state when not to use the tool or mention alternatives.

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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