get_fiscal_readinessChecks whether the business is ready to emit real ARCA electronic invoices. Returns { ready, missing, guidance } where ready=true means all fiscal fields and the ARCA certificate are configured.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, and the description adds specific behavioral context by detailing the return shape ({ ready, missing, guidance }) and the meaning of ready=true. This goes beyond the annotations without contradicting them.
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 a single, efficient sentence that fronts the purpose and clearly states the return object. Every word contributes meaning; there is no filler or redundant content.
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 zero-parameter read-only check, the description fully covers the tool's purpose and return format. It clarifies what 'ready' means, making the tool's output immediately interpretable. No output schema exists, so this description bears the full burden and does so well.
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?
There are no parameters (0 params), so the schema provides no information. The description aptly compensates by explaining the return value structure and semantics, which is the relevant behavioral detail.
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 uses the specific verb 'Checks' and clearly identifies the resource: readiness to emit real ARCA electronic invoices. It distinguishes itself from siblings like emit_invoice and connection_status by focusing on fiscal readiness.
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 a pre-flight check for emitting invoices ('Checks whether the business is ready to emit...') but does not explicitly state when to use this tool or how it compares to alternatives like connection_status. Usage context is implied, not directly stated.
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.
Multiple tools have overlapping purposes, such as caja_registrar_movimiento vs register_movement, get_payment_intent_status vs open_cobro_status, and adjust_stock vs stock_load. The distinctions are not immediately clear from names/descriptions, causing a high risk of misselection.
Naming is inconsistent: mixes English and Spanish (caja_*, emit_invoice, send_whatsapp_*), and uses different patterns (open_*, get_*, query_*, list_*, etc.). Some names like stock_load and bulk_price_update don't follow a clear verb_noun convention.
50 tools is excessive for most contexts, even for a broad ERP-like domain. Many are UI widgets (open_*) that add clutter and could be consolidated, making the tool set feel heavy and harder to navigate.
The tool set covers many core business functions (products, suppliers, customers, sales, invoicing, shipping, cash register, payments, integrations). However, there are noticeable gaps: purchase requests have only create (no list/update/delete), shipments cannot be updated/cancelled, and sales lack direct update/query by ID.