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RanklyBee

Exclude a brand from AI visibility

exclude_ai_visibility_brand

Leave a brand out of competitor comparisons.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
siteIdYes
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false and destructiveHint=false, so the agent knows this writes but is not flagged destructive, yet the description adds nothing beyond that. It does not say whether the exclusion is reversible (a sibling restore_ tool implies it is), whether existing mentions/comparison data is affected, or what the caller must own to make the change.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence is front-loaded with no redundancy, which is good, but it is under-specified rather than genuinely concise for a three-parameter mutation tool. There is room for one more clause about scope or reversibility without bloating it.

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, three undocumented required parameters, and annotations that only cover safety hints, the description should explain the identifiers, the effect on comparison data, and the reciprocal restore tool. None of that is present, so an agent cannot reliably invoke it beyond guessing.

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?

All three required parameters (projectId, siteId, name) have 0% schema description coverage, so the description carries the full burden and fails it. Only the word 'brand' loosely gestures at the name parameter; projectId and siteId are never explained, and no format or example is given.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a recognisable action (leaving a brand out) and a scope (competitor comparisons), which is marginally more specific than the tool name. However, it essentially restates the name and title and never names the sibling it belongs to, such as restore_ai_visibility_brand or add_ai_visibility_competitor, so an agent gets no differentiation signal.

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 when-to-use guidance, no preconditions (e.g. the brand must already exist in the competitor set), and no mention of the obvious inverse tool restore_ai_visibility_brand for undoing the exclusion. The agent is left to infer everything from the name.

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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