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apexradius

mcp-search-console

by apexradius

get_search_analytics

Fetch clicks, impressions, CTR, and position data from Google Search Console for specified sites and date ranges, with optional dimension filters.

Instructions

Fetch search analytics data (clicks, impressions, CTR, position).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNoAccount name from config (uses default if omitted)
end_dateYesEnd date in YYYY-MM-DD format
site_urlYesGSC property URL (e.g. 'https://example.com' or 'sc-domain:example.com')
row_limitNoNumber of rows to return (default 25, max 1000)
dimensionsNoList of dimensions — any of ['query', 'page', 'country', 'device', 'date']
start_dateYesStart date in YYYY-MM-DD format

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so the description carries full burden. It does not disclose behavioral traits like aggregation behavior, data freshness, authentication requirements, or limits beyond what parameters imply.

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?

Single sentence is concise and front-loaded with the action. Could be slightly expanded for context without losing conciseness, but currently efficient.

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 having output schema and 6 parameters, the description is too brief. It does not clarify scope, common use cases, or how it differs from similar siblings, leaving the agent underinformed.

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% with descriptions for all 6 parameters. The description adds no additional meaning beyond the schema, achieving the baseline.

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 the action 'Fetch' and the resource 'search analytics data', listing specific metrics ('clicks, impressions, CTR, position'), which distinguishes it from sibling tools like get_performance_overview or get_advanced_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 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 such as get_advanced_search_analytics or get_search_by_page. The description lacks context about scope or filtering.

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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