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Crawlora MCP

retailmenot_store

Read-only

Get a store's RetailMeNot coupons and offers by domain (for example target.com): store details, rating, category, offer counts, every listed coupon/sale/cash-back/in-store offer including the page's show-more offers, similar stores, and FAQs. Coupon codes themselves are not returned. Set market=ca for a RetailMeNot Canada store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYes
marketNo

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
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds real behavioral value by disclosing that 'coupon codes themselves are not returned' and that output includes 'show-more offers' beyond the visible page, which an agent cannot infer from the structured fields.

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 core purpose, then a compact enumeration of returned contents and two short clarifier sentences. The long content list is justified because it conveys real output scope, though the sentence is slightly dense.

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 values needn't be re-explained, yet the description still sketches them; annotations cover the read-only, open-world profile. Combined with the coupon-code caveat and market guidance, it is complete enough, with only the domain format/default market left implicit.

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

Parameters4/5

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

Schema coverage is 0%, so the description must carry the parameters, and it does: it anchors 'domain' with the example target.com and explains 'market' by giving the specific value (market=ca for Canada). It compensates well, though it doesn't state the domain's exact format or the default market.

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 and resource ('Get a store's RetailMeNot coupons and offers') with a concrete input example (target.com) and enumerates the returned contents. It implicitly separates itself from the sibling list-oriented retailmenot_stores by scoping to a single domain, but never names an alternative tool, so it falls short of 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 description explains how to invoke it (pass a domain, use market=ca for Canada) but gives no explicit when-to-use versus alternatives such as retailmenot_stores, retailmenot_cashback, or retailmenot_deal_event. Usage is implied by the input, not contrasted with siblings.

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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