Skip to main content
Glama

Crawlora MCP

quince_suggest

Read-only

Quince's own search-box typeahead suggestions for a partial query: a flat list of suggested search phrases, no product data. Pass a suggestion straight through to quince_search's own q parameter for product results. A query with no genuine matches returns a well-formed empty result rather than an error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYes

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

A4.2/5.0
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 genuine value beyond that: it discloses output shape ('flat list... no product data') and error behavior ('a query with no genuine matches returns a well-formed empty result rather than an error'). It omits auth or rate-limit context, keeping it from a 5.

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?

Three tight sentences, front-loaded with the core purpose, then the hand-off to quince_search, then the empty-result edge case. Every sentence carries distinct information with no redundancy.

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 need not be spelled out; the description still helpfully characterizes the result as phrase-only. For a single-parameter read tool this is nearly complete, with only minor gaps around query syntax that the schema also leaves open.

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 0%, so the description must compensate for the single undocumented 'q' parameter. It does convey that q is a 'partial query' suited to typeahead and that its output feeds quince_search's q, adding partial semantic context, but it gives no format or length guidance. A 3 reflects adequate-but-incomplete compensation for the coverage gap.

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 states a specific verb and resource — 'typeahead suggestions for a partial query' — and immediately scopes the output as 'a flat list of suggested search phrases, no product data.' It explicitly contrasts itself with quince_search, so an agent can distinguish this from the product-search sibling without opening schemas.

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?

It names the alternative and the routing condition: 'Pass a suggestion straight through to quince_search's own q parameter for product results.' This tells the agent how this tool chains into the search tool. It stops short of explicitly stating when NOT to use this tool versus quince_search, so it isn't a full 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources