list_marques
Liste les marques référencées sur Noticiel (avec le nombre de notices), triées par volume. Filtrable par recherche.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| search | No |
Noticiel
TDQS
B3.2/5.0
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses that results include notice counts, are sorted by volume, and filterable by search. However, it does not mention pagination, authentication, 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.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with no wasted words. The purpose is front-loaded. Could be slightly improved by adding limit context, but overall efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given two parameters, output schema absent, and no sibling differentiation in the description, the tool lacks completeness. It does not explain output structure beyond notice count, ordering direction, or potential limitations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
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. It explains the 'search' parameter as a filter but does not describe the 'limit' parameter. The schema provides default/min/max for limit but no semantic purpose.
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 clearly states the verb 'list' and the resource 'marques' (brands) with added detail about notice count and sorting. It distinguishes from sibling tools like 'find_pdf' or 'search_notices' by specificity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives. The description does not mention when not to use it or provide context for selection among siblings.
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.
TDQS
A3.7/5.0
Disambiguation5/5
Each tool has a clearly distinct purpose: find_pdf obtains a download link, get_notice retrieves full notice content, list_categories lists product types, list_marques lists brands, and search_notices performs keyword-based search. No two tools overlap in functionality.
Naming Consistency5/5
All tools consistently use snake_case with a verb_noun pattern (e.g., find_pdf, list_categories, search_notices). The naming is predictable and uniform across the set.
Tool Count5/5
With 5 tools, the server is well-scoped for its domain of accessing product manuals. Each tool covers an essential operation, and the count is within the ideal range for a focused service.
Completeness5/5
The tool set covers the full discovery-to-retrieval workflow: listing categories and brands, searching for notices, retrieving full notice content, and downloading PDFs. No obvious gaps exist for a read-only manual lookup service.