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colehaan_search_suggest

Fetch product, collection, and query suggestions from Cole Haan's predictive search endpoint to support storefront autocomplete and search discovery.

Instructions

Get Cole Haan search suggestions. Returns products, collections, and query suggestions from Cole Haan's (https://www.colehaan.com) credential-free predictive search Ajax endpoint. The storefront URL is fixed server-side.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesSearch query
limitNoMaximum results per type, defaults to 10 and supports up to 20
typesNoComma-separated suggestion types. Allowed values: product, collection, query

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.16.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly notes the endpoint is credential-free and that the storefront URL is fixed server-side, which tells the agent no auth or URL configuration is needed. It also explains the return categories, though it omits error behavior, rate limits, or response shape.

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 tight sentences that lead with the primary action and follow with essential endpoint and credential context. Every clause earns its place, and there is no repetition of schema details or boilerplate.

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 simple three-parameter tool with no output schema and no annotations, the description gives sufficient context: what it returns, the source endpoint, and that no credentials or URL configuration are required. The absence of a detailed return format is not a significant gap given the tool's simplicity.

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%, so the input schema already documents q, limit, and types including defaults, maximums, and allowed values. The tool description adds no additional parameter-level meaning beyond restating the return types.

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?

States a specific verb and resource ('Get Cole Haan search suggestions') and enumerates the return categories: products, collections, and query suggestions. This clearly distinguishes it from sibling tools like colehaan_products by tying it to a predictive search endpoint rather than a full product search.

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 intended use case is implied by the phrase 'search suggestions'—an agent can infer this is for typeahead or autocomplete queries. However, the description does not explicitly state when to prefer this over colehaan_products or other search-related tools, nor does it name any alternatives or exclusion criteria.

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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