list_invoices
Lister les factures
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Lister les factures
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, so the description need not repeat them. It adds no additional behavioral context beyond the annotations.
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?
Extremely concise single sentence that is front-loaded with the key action and resource. No unnecessary words.
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?
Adequate for a simple zero-parameter list tool with thorough annotations, but no explanation of return format or pagination. Minimal but functional.
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?
No parameters exist, and schema coverage is 100%. Description adds no parameter-level meaning, but the baseline of 3 applies given high coverage.
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 'Lister les factures' clearly states the verb (list) and resource (invoices), directly distinguishing it from sibling tools like 'create_invoice' or 'list_quotes'.
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 on when to use this tool vs alternatives. Does not indicate prerequisites or when not to use it.
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.
Most tools target distinct resources and actions (e.g., create_client vs. list_clients). However, generic tools like eyeot_call overlap with many specific tools, and there's potential confusion between convert_opportunity_to_quote, create_quote, and accept_quote, though descriptions help distinguish them.
The majority follow verb_noun pattern (create_client, list_invoices), but there are outliers like eyeot_call, eyeot_help, stock_dashboard, dashboard_kpis, whoami, and search. The mix of French and English is consistent but slight inconsistency in structure.
33 tools cover multiple ERP modules (CRM, HR, inventory, sales, IT). While on the higher end, each module has necessary operations. The presence of generic eyeot_call suggests the tool surface could be larger, but the count is still reasonable for the scope.
Only clients have update and no deletes exist. Many resources (products, employees, orders, quotes, invoices, opportunities, tickets) lack update/delete operations. This creates dead ends for agents that need to modify or remove data.