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Get AI visibility

get_ai_visibility
Read-onlyIdempotent

AI visibility overview for a site: measured mention rate across configured AI engines (OpenRouter / OpenAI / Anthropic / Gemini / Perplexity), current engine set, planned engines.

Input Schema

NameRequiredDescriptionDefault
site_idYesUUID of the site

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds useful content context by naming what is returned (mention rate, engine sets), but does not disclose time range, caching, or other behavioral traits.

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 description is a single, front-loaded sentence that efficiently conveys purpose and content without filler. It is slightly list-heavy but appropriately sized for a simple read tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter, read-only tool with no output schema, the description explains the returned subject matter (mention rate, engines) well enough to guide invocation. It omits some useful context such as the measurement period or output shape, but is largely complete.

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

Parameters3/5

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

There is one parameter with 100% schema description coverage ('UUID of the site'), so the schema already carries its meaning. The description does not add syntax or format detail beyond that, making the baseline 3 appropriate.

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 clear resource and content: an AI visibility overview measuring mention rate across named AI engines, plus current and planned engine sets. It is specific enough for an agent to know what data it retrieves, though it does not explicitly differentiate itself from the sibling get_ai_overview_presence.

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 when-to-use guidance, no prerequisites, and does not mention any alternative or exclusion. An agent can infer it is for a site from the name, but there is no routing help against siblings such as get_ai_overview_presence.

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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