Skip to main content
Glama

RNCP / RS — certifications professionnelles (France compétences)

Compare two certifications

compare_certifications
Read-onlyIdempotent

Side-by-side comparison of two certifications: level, status, certifiers, NSF/ROME overlap, number of blocs and lexical overlap of blocs (Jaccard on skill terms) and, for each bloc of A, the closest bloc of B (overlap coefficient). Example (FR): « Compare le RNCP 36490 et le RNCP 37873. »

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numero_aYesCertification number: "RNCP35419", "35419", "rncp 35419", "RS5000" or a francecompetences.fr URL
numero_bYesCertification number: "RNCP35419", "35419", "rncp 35419", "RS5000" or a francecompetences.fr URL

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, idempotentHint=true, destructiveHint=false, so safety profile is clear. The description adds behavioral detail about what comparisons are performed (Jaccard overlap, closest bloc). No contradictions found.

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 dense, front-loaded sentence followed by a short example. Every word adds value, 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?

For a simple two-param comparison tool with full schema descriptions and clear annotations, the description is nearly complete. Minor gap: doesn't mention output format or that it's idempotent (though annotation covers that).

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 100% and both parameters have full descriptions with format examples. The tool description adds no param-specific detail beyond what the schema provides, so baseline 3 is appropriate.

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 tool compares two certifications side-by-side and lists specific metrics compared (level, status, certifiers, overlap). It distinguishes itself from siblings like get_certification (single cert) and search_certifications (query-based search).

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?

The description implies this tool is for detailed comparison between two certifications. The example suggests use case (comparing two RNCP numbers). No explicit when-not-to-use or alternatives given, but the sibling context and parameter names make it clear.

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

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: searching, retrieving details, checking validity, comparing, listing blocs, listing partners, checking habilitations, tracking changes, and checking data freshness. No two tools overlap in function.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (e.g., search_certifications, get_certification, check_validity, list_partenaires). The naming is predictable and clear, using English verbs with French context nouns appropriately.

Tool Count5/5

With 9 tools covering the main operations on certification data (search, retrieve, compare, check validity, list blocs/partners, habilitations, change tracking, data status), the count feels well-scoped and each tool serves a necessary function without bloat.

Completeness5/5

The tool set covers the full lifecycle of working with French professional certifications: discovery (search), detailed inspection (get, compare), status checks (validity, habilitation, changes), structured data retrieval (blocs, partners), and data quality awareness (data_status). No obvious gaps for the stated domain.