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avansaber

SEOMonster

by avansaber

gsc_search_analytics

Read-onlyIdempotent

Retrieve Search Console search analytics (clicks, impressions, CTR, position) for a property. Supports dimensions, filters, date range, pagination, and data state.

Instructions

Query Search Console search analytics (clicks, impressions, CTR, position) for a property, with dimensions, a date range, optional dimension filters, and data_state. The workhorse GSC tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoLookback window in days. Convenience alias: derives end=today, start=today-days. Ignored when start_date is set explicitly.
limitNoAlias for row_limit. row_limit wins when both are set.
filtersNoOptional dimension filters, ANDed together.
end_dateNoISO date YYYY-MM-DD. Defaults to today.
site_urlNoProperty to query. Defaults to the configured default site.
row_limitNoDefaults to 1000.
start_rowNoPagination offset. Defaults to 0.
data_stateNoall matches the dashboard (fresh, partial data); final lags 2-3 days. Defaults to the configured value.
dimensionsNoDefaults to ["query"].
start_dateNoISO date YYYY-MM-DD. Defaults to 28 days ago. Wins over `days` when both are set.
search_typeNoDefaults to web.
Behavior3/5

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

Annotations already provide readOnlyHint, idempotentHint, and destructiveHint. The description adds minimal behavioral context beyond what is in the schema (e.g., mentioning data_state). It does not add new details about rate limits or side effects.

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?

Two clear, front-loaded sentences with no wasted words. The first sentence conveys the core action and output; the second adds a useful label. Efficient.

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?

Given 11 parameters and no output schema, the description is brief but covers the essential purpose. It does not explain return format or pagination, but these are implied by the parameters. Adequate for a general query tool.

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 coverage is 100%, so the description adds no additional parameter meaning beyond restating the dimensions, date range, and filters already documented in the schema. Baseline score of 3 is appropriate.

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 clearly states it queries Search Console search analytics (clicks, impressions, CTR, position) for a property, with specific parameters. It brands itself as 'the workhorse GSC tool', distinguishing it from sibling tools that focus on specific subsets like top queries or pages.

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 on when to use this tool versus alternatives. The description does not mention when not to use it or suggest sibling tools for specific needs, leaving the agent to infer usage from context.

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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