Restore an excluded brand
restore_ai_visibility_brandBring an excluded brand back into competitor comparisons.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| siteId | Yes | ||
| projectId | Yes | ||
| normalizedName | Yes |
restore_ai_visibility_brandBring an excluded brand back into competitor comparisons.
| Name | Required | Description | Default |
|---|---|---|---|
| siteId | Yes | ||
| projectId | Yes | ||
| normalizedName | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so the agent knows this is a non-destructive internal write. The description adds that the operation reverses an exclusion and re-includes the brand in comparisons, but says nothing about idempotency, error behavior for non-excluded brands, or the affected scope of the restoration.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single eleven-word sentence with no filler and the effect front-loaded. It is efficient, though the extreme brevity borders on under-specification rather than deliberate conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a three-required-parameter mutation tool with 0% schema coverage, no output schema, and only safety-hint annotations, the description covers only the high-level intent. An agent gets no guidance on parameter meaning, identifier format, or the outcome of the call.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for all three required params (projectId, siteId, normalizedName) with no enums. The description never mentions any parameter, format, or normalization requirement; the word 'brand' only loosely hints that normalizedName is a normalized brand identifier. With full schema silence, the description should be compensating and does not.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description pairs a specific verb ('bring back', i.e. restore) with a specific resource ('excluded brand') and states the resulting effect ('into competitor comparisons'). It is distinguishable from sibling 'exclude_ai_visibility_brand' by implication, though it never names that counterpart explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied: the phrase 'an excluded brand' hints the precondition is that the brand is currently excluded, presumably via exclude_ai_visibility_brand. There is no explicit when-to-use, no statement about what happens if the brand is not excluded, and no named alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.