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RanklyBee

Get AI citation sources

get_ai_visibility_citations
Read-only

Read which domains and pages AI answers cite, and the domains that never mention the brand.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
fromNo
engineNo
siteIdYes
enginesNo
categoryNo
monitorIdNo
projectIdYes
categoriesNo

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 the safety profile is covered. The description adds some output-shape context (cited domains/pages plus non-mentioning domains) but says nothing about auth, scope limits, or pagination.

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?

A single efficient sentence with the action front-loaded. The second clause is slightly muddled but there is no filler or repetition.

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?

For a 9-parameter query tool with no output schema and no annotation-level detail beyond read-only, the description omits filtering semantics and result scope. It is not complete enough for an agent to call it precisely.

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?

Nine parameters at 0% schema description coverage, yet the description explains none of them. Date range (from/to), engine vs engines, category vs categories, and monitorId filtering are all left undocumented, so the description fails to compensate for the schema gap.

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 a clear verb+resource: read the domains and pages that AI answers cite. However the trailing clause 'the domains that never mention the brand' is ambiguous and no sibling is named, so an agent cannot easily distinguish it from get_ai_visibility_domain_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 when-to-use guidance, no prerequisites, and no mention of alternatives in a crowded ai_visibility family (overview, competitors, domain_pages, brand mentions). The agent is left to infer when this is the right call.

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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