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Get Search Console metrics

get_gsc_metrics
Read-onlyIdempotent

Google Search Console metrics for a site. surface = organic|ai_overview|ai_mode|discover_ai (default organic); dimension = query|page|country|device|date (default query).

Input Schema

NameRequiredDescriptionDefault
limitNoMax rows (1-500, default 50)
site_idYesUUID of the site
surfaceNo
dimensionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is fully covered. The description adds the default values for surface and dimension, which is helpful context, but says nothing about data freshness, return shape, or rate limits – acceptable given the annotations carry the important behavioral burden.

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?

Two tight sentences, front-loaded with the resource and followed by the parameter guidance that the schema lacks. Backtick formatting is efficient; nothing is wasted, though the parameter clause reads a little like raw schema output.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should say what a 'metric' row contains (clicks, impressions, CTR, position) and what a dimension grouping returns; it does not. It also omits the prerequisite that site_id must reference a connected GSC property, leaving a real gap for a 4-parameter analytical tool.

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 only 50% (limit and site_id documented; the two enum params are not), and the description fills exactly that gap by listing allowed values and defaults for surface and dimension. This meaningfully compensates for the schema shortfall rather than repeating it.

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?

States the specific resource (Google Search Console metrics) and scope (for a site), which distinguishes it from get_bing_metrics and the AI-visibility siblings. It stops short of explicitly naming the sibling it replaces, so the differentiation relies on the reader knowing 'GSC' means Google.

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 choose this over get_bing_metrics, get_ai_visibility, or get_keyword_rankings, nor any prerequisite (site must be a connected Search Console property). The parameter defaults imply what can be requested but give no usage context or exclusions.

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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