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Glama

Generate Fec

generate_fec

Génère le Fichier des Écritures Comptables (FEC) pour un exercice fiscal. Le FEC est un fichier réglementaire au format normé (article A.47 A-1 du LPF, 18 colonnes, séparateur TAB) requis en cas de contrôle fiscal. L'exercice est calculé avant la génération si nécessaire. Retourne le chemin du fichier généré.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description discloses key behaviors: generating a standardized file, calculating the fiscal year when needed, and returning a file path. It does not mention side effects or error handling, but covers the essentials.

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 sentences, front-loaded with the core purpose, and each sentence adds valuable context (legal basis, format, output) without unnecessary verbosity.

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?

The description explains the tool's purpose, legal framework, output format, and return value, making it sufficiently complete for a one-parameter tool with no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single 'year' parameter is clarified as the fiscal year, and the description notes that the exercise is calculated automatically, adding meaning beyond the bare integer schema.

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 uses a specific verb 'Génère' and clearly identifies the resource (FEC) with regulatory detail, distinguishing it from siblings like generate_tax_return and export_documents.

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 explains that the FEC is a mandatory regulatory file for tax audits, indicating when to use it, but does not explicitly list alternatives or exclusions.

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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TDQS

B3.3/5.0
Disambiguation2/5

The set contains two almost identical comparison tools: compare_micro_bic and get_simulation both compute micro-BIC vs réel and recommend the best regime. This creates a direct selection conflict. Other tools are mostly distinct, but this overlap is significant.

Naming Consistency4/5

Tool names follow a verb_noun pattern consistently, with list_properties, create_income, delete_expense, etc. Minor deviations exist such as compare_micro_bic (no standard noun) and the plural/singular mismatch between delete_document and export_documents, but these are easily understood.

Tool Count2/5

With 44 tools, the surface is very large for an MCP server. While the LMNP domain is broad, the number exceeds the typical range and will be hard for agents to navigate efficiently. Some functions could be consolidated (e.g., get_simulation absorbs compare_micro_bic).

Completeness3/5

The set covers CRUD for properties, incomes, expenses, furniture, and works, plus documents and fiscal computations. However, there is no create/update/delete for loans (only compute and get), no delete_property, and no update for property components. These gaps could block common workflows.