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Crawlora MCP

cvs_product

Read-only

One CVS.com OTC (over-the-counter) retail product's detail: name, description, brand, category, price, currency, online availability, image gallery, and aggregate rating. Covers the non-prescription retail catalog only. slug is the segment of a product page URL after "/shop/", e.g. "safe-home-premium-radon-test-kit-prodid-945948"; a full https://www.cvs.com/shop/... URL is also accepted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the catalog scope constraint (OTC only), which is useful context, but says nothing about freshness, caching, or error behavior on an invalid slug. Adequate but not rich given the annotations do the heavy lifting.

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?

Front-loaded with the purpose and returned fields, then scope, then the parameter detail. Three sentences with no filler, though the field enumeration is lengthy and partially overlaps the output schema.

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?

An output schema exists, so return-value explanation is not required, yet the description usefully summarizes the payload. Scope and parameter format are covered; only minor gaps (error handling, versioning) remain.

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

Parameters5/5

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

Schema description coverage is 0%, so the description carries the full burden. It fully compensates: it defines slug as the URL segment after '/shop/', gives a concrete example, and notes a full https://www.cvs.com/shop/... URL is also accepted. That goes well beyond a bare 'slug' string.

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?

States a specific verb+resource (retrieve one CVS OTC product's detail) and enumerates the returned fields. It also scopes the tool to the non-prescription retail catalog, which implicitly separates it from sibling tools like cvs_product_ingredients. It stops short of explicitly naming which sibling to use for other needs, so not 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 Guidelines3/5

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

The scope note ('non-prescription retail catalog only') implies when this tool applies, but there is no explicit when-to-use/when-not guidance or routing to alternatives (e.g. use cvs_search to find a slug). Usage is inferable but not stated.

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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