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JavaScript
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rebag_search_suggest

Fetch Rebag search suggestions, returning product, collection, and query predictions as clean JSON. Access credential-free predictive search data directly.

Instructions

Get Rebag search suggestions. Returns products, collections, and query suggestions from Rebag's (https://shop.rebag.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. Addedv1.17.5

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It usefully discloses that the endpoint is credential-free and that the storefront URL is fixed server-side, which helps the agent set expectations. However, it does not describe response structure, error behavior, or rate limits.

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?

Two sentences with no filler. The core purpose is front-loaded, and the additional details (credential-free, fixed URL) are concise and relevant to correct 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?

For a simple, low-complexity suggestion tool with fully documented parameters, the description provides enough context: what it returns, that it is credential-free, and that the storefront URL is fixed. The lack of an output schema and return-structure detail is a minor gap, but not enough to prevent correct use.

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 schema already documents all parameters. The description adds mild context by naming the three result types ('products, collections, and query suggestions'), which aligns with the 'types' parameter, but it does not add substantial meaning beyond the schema.

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 uses a specific verb and resource ('Get Rebag search suggestions') and explicitly states what is returned: products, collections, and query suggestions. This clearly distinguishes it from the sibling rebag_search tool, which would return full search results rather than predictive suggestions.

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 implies use for predictive/autocomplete search scenarios via 'predictive search Ajax endpoint,' but it does not explicitly state when to prefer this over rebag_search or other alternative tools. No exclusions or alternative routing are provided.

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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