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dacmail

Cuéntica MCP

by dacmail

create_provider

Destructive

Create a new provider in Cuéntica. Requires user confirmation. Mandatory fields: business type, region, address, town, postal code, and trade name.

Instructions

⚠️ Crea un proveedor. Confirmar con usuario. default_expense_type: código contable ej "600","621","629". Ver Swagger para lista completa. Ver create_customer para business_type, tax_id_type y demás valores válidos.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
business_typeYes
regionYes
addressYes
postal_codeYes
townYes
tradenameYes
business_nameNo
nameNo
surname_1No
surname_2No
cifNo
tax_id_typeNo
country_codeNoES
emailNo
phoneNo
webNo
default_payment_methodNo
default_retentionNo
default_expense_typeNo
contact_personNo
personal_commentNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already include destructiveHint: true. The description adds context with a warning emoji and 'Confirmar con usuario', indicating user confirmation needed. No contradictions, but behavioral disclosures beyond the annotation are minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short (three sentences) and front-loaded with the purpose. It uses a warning emoji and references, but the structure is slightly fragmented. Still, it is concise with minimal waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (21 parameters, 0% coverage) and the presence of an output schema, the description is incomplete. It lacks details on prerequisites, error handling, and most parameter semantics, leaving the agent under-informed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description should compensate. It only explains 'default_expense_type' with examples and references create_customer for others. This leaves 20 undocumented parameters without any semantic guidance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Crea un proveedor' (creates a provider), specifying the action and resource. It distinguishes from sibling tools like create_customer by referencing it for value validation, but does not explicitly differentiate from other create tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description advises user confirmation ('Confirmar con usuario') and directs to create_customer for valid values of certain parameters. However, it does not state when to use this tool versus alternatives or provide exclusions.

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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