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365diascollaboration-prog

Gerent365 MCP Server

gerent365_create_customer

Create a customer record in the system, including phone, email, VIP flag, allergies, and dietary notes. Enables personalized service and efficient customer management.

Instructions

Crea un nuevo cliente.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesNombre del cliente.
tagsNo
emailNo
isVipNo
phoneNoTeléfono (único por negocio).
birthdayNoCumpleaños (YYYY-MM-DD).
allergiesNo
dietaryNotesNo
specialNotesNo
favoriteTableNoMesa favorita.
Behavior1/5

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

No annotations are present, and the description does not disclose any behavioral traits such as authentication needs, idempotency, duplicate handling, or side effects. The phrase 'Crea un nuevo cliente' is purely a statement of action with zero transparency about what happens when invoked.

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

Conciseness3/5

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

The description is a single sentence with no unnecessary words, making it concise. However, it is under-specified for a tool with 10 parameters; the extreme brevity sacrifices essential information, so it is not appropriately sized for the tool's complexity.

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

Completeness1/5

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

With 10 parameters, no output schema, and no annotations, the description is severely incomplete. It provides no information about return values, side effects, parameter details, or usage context, making it inadequate for an agent to correctly select and invoke the tool.

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

Parameters1/5

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

The input schema has 10 parameters with only 40% description coverage, and the tool description mentions none of them. It fails to compensate for the missing schema descriptions, leaving fields like tags, email, allergies, and isVip unexplained, which is critical for correct invocation.

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 'Crea un nuevo cliente.' clearly states the action (create) and resource (customer), with 'nuevo' distinguishing it from update operations. However, it does not explicitly reference sibling tools like update_customer or list_customers, so differentiation relies on the tool name rather than the description.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like update_customer or create_employee. It lacks any context about prerequisites, intended scenarios, or exclusions, offering only a bare definition with no usage direction.

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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