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RanklyBee

List CTR opportunities

list_ctr_opportunities
Read-only

List pages that rank but get fewer clicks than expected.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteIdYes
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description usefully defines what an 'opportunity' is, but says nothing about how 'expected' CTR is computed, whether thresholds are configurable, or how results are scoped or paginated.

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?

One short, front-loaded sentence with no filler; it communicates the core concept immediately. It is arguably too terse for the gaps it leaves, but nothing in it is wasted.

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?

With no output schema, no annotation-level detail on returns, and two undocumented required parameters, the description leaves too much unspecified. It explains the concept of a CTR opportunity but not what the agent receives back or how the results are bounded.

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 description coverage is 0% and the description never mentions siteId or projectId, so it fails to compensate for the documentation gap. The only mitigating factor is that both parameters are self-describing strings with obvious meanings.

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 gives a specific verb+resource plus a crisp domain definition ('pages that rank but get fewer clicks than expected'), which is more than a restatement of the name. It does not, however, differentiate itself from adjacent analytical siblings such as get_search_performance or analyze_site, so an agent cannot route between them from the text alone.

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 explicit when-to-use, when-not-to-use, or named alternative. The phrase 'fewer clicks than expected' hints at an SEO optimization workflow but never states what condition should trigger calling this instead of another list/search tool.

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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