date_fr
French invoice date format: YYYY-MM-DD → JJ/MM/AAAA, weekday, long form, collable 'Date de facture : …'. L441-9 emission date. Paid $0.01 USDC Base x402.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
French invoice date format: YYYY-MM-DD → JJ/MM/AAAA, weekday, long form, collable 'Date de facture : …'. L441-9 emission date. Paid $0.01 USDC Base x402.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description does not disclose any side effects, permissions, data handling, or costs. The cryptic 'Paid $0.01 USDC Base x402' could imply a payment or transaction, but it is not explained, leaving behavioral expectations completely opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief but includes irrelevant and confusing content ('Paid $0.01 USDC Base x402') that distracts from the core subject. The formatting information is fragmented (weekday, long form, label) without clear organization, reducing clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
While it mentions a date format conversion and a label, the description lacks a complete specification of input/output behavior. It does not explain how the tool handles weekdays, long-form dates, or the 'Date de facture' label, nor does it clarify the L441-9 reference. The unrelated payment note adds noise without context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has no defined parameters (schema coverage is 100% with zero parameters), so the baseline of 3 applies. However, the description does not clarify what input is expected (e.g., a date string, an invoice object) despite additionalProperties being true, leaving potential inputs ambiguous.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a noun phrase ('French invoice date format') without an explicit verb indicating the tool's action. It shows a format conversion (YYYY-MM-DD → JJ/MM/AAAA) but doesn't clearly state what the tool does (e.g., convert, format, validate). The mention of 'Paid $0.01 USDC Base x402' is unrelated and further obscures the purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the many sibling tools (e.g., date handling, invoice formatting). There is no mention of alternatives, prerequisites, or typical use cases. The description is entirely context-free regarding selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools cover adjacent legal concepts such as down payments (acompte/arrhes), payment deadlines (due_date/due_eom/days_late), and identifier checks (check_siret/siren_from_siret/vat_key/eori), which can cause misselection. The descriptions do distinguish them clearly, but the sheer volume of overlapping categories still creates boundary confusion for an agent.
All tool names use lowercase snake_case and are mostly short, readable French legal nouns or noun phrases, so there is a predictable stylistic pattern. The mix of French and English names and the occasional verb-led names like check_siret or siren_from_siret prevent a perfect score.
With 68 tools, this server is far beyond the well-scoped 3-15 tool range and even beyond the 50+ extreme-mismatch threshold. Each tool is a tiny one-purpose helper, but the set as a whole is overwhelming and should be grouped into fewer, broader tools or split into multiple servers.
The tool surface covers an impressively broad range of French legal needs: statutory invoice mentions, payment penalties, holidays, VAT calculations, identifier checks, warranties, withdrawal rights, and dunning steps. There are no obvious dead ends, and mention_fields acts as a completeness checklist for required invoice mentions.