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AI shopping visibility

get_ai_visibility_summary
Read-only

AI Search Visibility: readiness scores for AI shopping assistants (Alexa for Shopping / COSMO) on tracked ASINs — latest score + WoW change, drops, top fixes, competitor compare. Use for "AI visibility", "Alexa readiness", "COSMO score".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinNoFocus on one tracked ASIN (own or competitor).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds some useful context about the response contents (latest score, WoW change, drops, fixes, competitor compare), but it discloses no other behavioral traits such as data freshness, scoping rules, or pagination. This is adequate but not rich.

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

Conciseness5/5

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

The description is two sentences long, starts with the core purpose, and packs useful details (metrics, scope, trigger phrases) without redundancy. Every piece supports tool selection and invocation.

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?

There is no output schema, so the description compensates by enumerating the main return components. It covers what the tool does, what it operates on, and when to use it. It could go slightly further by clarifying what happens when no asin is provided, but for a read-only summary tool with one optional parameter, the definition is adequately 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?

Schema description coverage is 100%: the only parameter, asin, is described as focusing on one tracked ASIN. The description's phrase "tracked ASINs" adds little beyond the schema. The description neither adds format details nor clarifies behavior when the optional parameter is omitted, so it meets the baseline for fully covered schema parameters.

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

Purpose5/5

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

The description clearly states the tool returns readiness scores for AI shopping assistants, including specific metrics (latest score, WoW change, drops, top fixes, competitor compare). This distinguishes it from siblings like get_keyword_rank_history or get_sales, and the included trigger phrases reinforce its specific domain.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says "Use for "AI visibility", "Alexa readiness", "COSMO score"", which gives clear selection triggers. It does not, however, mention when not to use it or contrast it with any sibling tool, so it stops short of full exclusionary guidance.

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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