Skip to main content
Glama

WashyDish (France)

Chercher des modèles

search_models
Read-onlyIdempotent

Cherche des lave-vaisselle dans le comparateur WashyDish, pour la France (Amazon.fr, en français) ou les États-Unis (Amazon.com, en anglais), par besoin (texte libre) et par filtres exacts ; renvoie nom, marque, valeurs des filtres, données officielles avec leur source et le lien vers la fiche du site (prix et notes du jour y figurent).

Input Schema

NameRequiredDescriptionDefault
limitNo
queryNoBesoin en mots libres (ex. « silencieux pour studio »)
marketYesLe marché : fr = la France (Amazon.fr, en français), us = les États-Unis (Amazon.com, en anglais). Chaque marché a son propre catalogue.fr
filtersNo{clé: [valeurs exactes]} ou {clé: {min, max}}, avec les clés et valeurs des filtres du comparateur

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / required
      Added value: +[
      +  "market"
      +]
  2. Changed1 schema field changed
    • addedInput schema / properties / market
      Added value: +{
      +  "default": "fr",
      +  "description": "Le marché : fr = la France (Amazon.fr, en français), us = les États-Unis (Amazon.com, en anglais). Chaque marché a son propre catalogue.",
      +  "enum": [
      +    "fr",
      +    "us"
      +  ],
      +  "type": "string"
      +}
  3. Changed1 schema field changed
    • changedInput schema / properties / filters / description
      Previous value: -"{clé: [valeurs exactes]} ou {clé: {min, max}} (voir list_filters)"New value: +"{clé: [valeurs exactes]} ou {clé: {min, max}}, avec les clés et valeurs des filtres du comparateur"
  4. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely useful behavior beyond that: it enumerates what is returned (name, brand, filter values, sourced official data, product-page link) and explicitly warns that price and ratings live on the linked page rather than in the response — a detail that changes downstream agent behavior.

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?

A single dense sentence that front-loads the action and resource, then markets, then inputs, then returns. It is long but every clause carries information; a light bullet or clause split would improve scannability slightly.

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?

With four parameters, a nested filters object and no output schema, the description does the necessary work of enumerating return fields and where price/ratings are found. The remaining gap is that the vocabulary of valid filter keys is only gestured at ('les clés et valeurs des filtres du comparateur') without pointing to list_filters.

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 coverage is 75% and the schema itself already spells out market (fr/us, separate catalogues) and query. The description reinforces the exactness of filters and their origin in the comparator, but does not clarify the nested filter key/value shape or the role of 'limit', so added meaning stays modest.

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 ('Cherche des lave-vaisselle dans le comparateur WashyDish') and scopes it to two named markets with their languages, which an agent can act on immediately. It never names the sibling tools (compare_models, get_model, list_filters, search) that overlap with it, so differentiation is left implicit.

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 the usage mode — free-text need combined with exact filters, one market per call — which tells an agent how to phrase a call but not when to prefer this over the sibling 'search' or when to switch to compare_models. No exclusions or prerequisites are stated.

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