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RanklyBee

Compare AI visibility with competitors

get_ai_visibility_competitors
Read-only

Read the ranking of brands in AI answers, share of voice, and head-to-head prompts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
fromNo
engineNo
siteIdYes
compareNo
enginesNo
categoryNo
sovScopeNo
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already establish readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds useful context about the returned content (brand rankings, share of voice, head-to-head prompts), but does not disclose pagination, result shape, or any operational constraints beyond that.

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?

The definition is a single, front-loaded sentence with no filler or redundancy. It is concise and readable, though arguably too terse for a 9-parameter tool, but the sentence itself earns its place.

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 tool with no parameter descriptions, no output schema, and many nearby siblings, the description is materially incomplete. It describes the returned subject matter in broad terms but does not explain parameters, usage context, or how it differs from get_ai_visibility_competitor and other AI visibility endpoints.

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

Parameters1/5

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

Schema description coverage is 0% across all 9 parameters, so the description must compensate and it does not mention any parameter at all. Required IDs (projectId, siteId), date filters (from, to), engine selectors, compare list, category, and sovScope are left entirely unexplained.

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 states a specific verb (Read) and resource (ranking of brands in AI answers, share of voice, and head-to-head prompts). It is clear what the tool returns, but it does not differentiate itself from the closely named sibling get_ai_visibility_competitor (singular) or other AI visibility tools, so it falls short of a 5.

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?

The description gives no guidance about when to use this tool instead of alternatives such as get_ai_visibility_competitor, get_ai_visibility_overview, or add_ai_visibility_competitor. Usage is only implied by the title 'Compare AI visibility with competitors,' with no explicit when-to-use or exclusions.

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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