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FlorianBruniaux

gsc-mcp

quick_wins

Identify pages ranking 4-15 with CTR below industry benchmark, sorted by opportunity score to prioritize click gains via title and meta optimization.

Instructions

Identify pages ranking between positions 4-15 whose CTR is below the industry benchmark for their rank.

Sorted by opportunity_score = (benchmark_ctr - actual_ctr) * impressions. High scores mean large click gains are possible with CTR optimisation (title/meta improvements).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
siteYes
min_impressionsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Despite no annotations, the description discloses the behavioral trait of computing an opportunity_score formula and explains what high scores mean. This adds valuable context beyond the tool's name, though it doesn't explicitly state idempotency 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?

The description is extremely concise with two sentences that front-load the main action. Every sentence adds value: the first defines the filter criteria, the second explains the scoring and interpretation.

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?

Given the output schema exists, the description appropriately focuses on the filtering logic and scoring formula. It could mention the return format briefly, but the output schema covers that. The description is complete for a reporting tool.

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

Parameters2/5

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

Schema coverage is 0% and the description provides no explanation of parameters (site, days, min_impressions). The description does not compensate for the lack of parameter documentation in the schema.

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 tool's purpose: identifying pages ranking between positions 4-15 with CTR below industry benchmark. This is a specific verb-resource combination that distinguishes it from siblings like 'search_by_page_query' or 'compare_search_periods'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for finding quick wins, but no explicit guidance on when to use or not use this tool versus alternatives. There is no mention of prerequisites or context for exclusion.

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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