generate_notice_informationGenerate the lease's mandatory information notice (loi ALUR). Fields: lease_type. FR: notice d'information annexe du bail. Renvoie un lien a ouvrir pour afficher/telecharger le PDF.
| Name | Required | Description | Default |
|---|---|---|---|
| payload | Yes | Objet contenant les champs du document (voir la description du tool). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool returns a link to display/download the PDF, which is a useful behavioral detail. However, it does not mention any side effects, required prior steps, or permissions, and annotations are absent, so the full safety profile is unclear.
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 compact and front-loaded, stating the core purpose in the first sentence and including the field and output in subsequent text. Every sentence serves a distinct purpose without waste.
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?
For a simple generation tool with one nested parameter and no output schema, the description covers the basic purpose and output, but lacks details on lease_type semantics and usage context. It is minimally complete but leaves room for misinterpretation.
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 description mentions 'Fields: lease_type' but gives no details about allowed values, requiredness, or format. The schema's payload description only points back to the tool description, so the agent receives minimal semantic value for parameter construction.
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 clearly identifies the tool's function: generating the mandatory information notice (loi ALUR) for a lease. It also provides the French name, distinguishing it from other generate_* siblings like generate_conge or generate_quittance.
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?
The description implies usage when a lease's mandatory information notice is needed, but it does not explicitly state when to use this tool over alternatives or any exclusions. No guidance on prerequisites or context is provided.
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 are clearly distinct document generators or calculators, but check_rent_control and get_reference_rent both deal with rent control and could be confused, as could simulate_irl and simulate_irl_by_quarters. Descriptions mostly clarify boundaries, so only minor ambiguity exists.
All tools follow a consistent verb_noun snake_case pattern (e.g., generate_quittance, check_address_risks, simulate_irl). The verbs vary by action but the structure is uniform and predictable across the entire set.
With 21 tools covering a broad but focused domain of French rental law, the count is slightly above the ideal 3-15 range but each tool serves a distinct legal or calculation purpose. The scope is large but justified for a comprehensive rental toolkit.
The toolset covers the full lifecycle of a French residential lease: creation, amendments, termination, deposits, guarantors, inventories, rent receipts, unpaid rent, rent control, and rent revision. There are no obvious missing operations for the stated purpose.