Crawlora MCP

vestiaire_suggest

Read-only

Vestiaire Collective's own search-box autocomplete suggestions for a partial query: matching brands plus completed search phrases.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "q": "<q>"
    },
    "name": "vestiaire_suggest"
  }
}

Input Schema

Name	Required	Description	Default
`q`	Yes	Partial search query to autocomplete

Output Schema

Name	Required	Description	Default
`data`	Yes	The tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 7, 2026
- addedInput schema / properties / q / description
```
Added value: +"Partial search query to autocomplete"
```
First observedOct 5, 2026

TDQS

A3.6/5.0

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 that results mix brand entities with completed search phrases, which is mild behavioral context, but it says nothing about result count, ranking, or language/locale scoping.

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?

One sentence, front-loaded with the verb and resource, with zero filler. The colon-delimited clause efficiently communicates the return composition.

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 explained, annotations cover the safety profile, and the single param is fully documented. The only substantive gap is the absence of any routing hint versus vestiaire_search and the other vestiaire lookup tools.

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% and there is a single parameter, so the schema already documents 'q' as the partial query. The description's mention of 'partial query' adds no syntax or format detail beyond the schema; baseline 3 applies.

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 (autocomplete suggestions for a partial query) and even names the source system and the two kinds of matches returned (brands plus completed phrases). It is clear, but it never distinguishes itself from the sibling vestiaire_search, which an agent could easily confuse it with.

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 phrase 'for a partial query' implies the usage context (typeahead / prefix completion) but there is no explicit when-to-use or when-not-to-use guidance, and no pointer to vestiaire_search for full-query lookups. Usage must be inferred.

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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