query_catalogLists active products in the business catalog. Returns products sorted by name, each with id, name, price (ARS), costPrice, sku, stock quantity, and weightGrams.
| Name | Required | Description | Default |
|---|---|---|---|
| search | No | Optional name filter (case-insensitive substring match). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is known. The description adds context by specifying 'active products' and the list of returned fields, but does not disclose further behavioral aspects like pagination, limits, or authentication requirements.
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, dense sentence that front-loads the core purpose and efficiently lists output fields. No unnecessary words or redundancy.
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 list tool with rich annotations and a well-documented parameter, the description is quite complete. It includes the output fields, which is valuable. It omits potential details like pagination, but they are not critical given the tool's simplicity.
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 only parameter 'search' is fully described in the schema (case-insensitive substring match), which covers 100% of parameter semantics. The description adds no additional parameter information, but this is acceptable given the high schema 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 clearly states the tool's function: 'Lists active products in the business catalog.' It uses a specific verb ('Lists') and resource, and includes details about sorting and returned fields, distinguishing it from sibling tools like query_sales or create_product.
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 implicitly defines when to use the tool (when retrieving catalog products) but does not explicitly mention alternatives or when not to use it. The context is clear enough for basic selection, but it lacks exclusions or named alternatives.
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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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.