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mutonby

Aikount MCP

create_contact

Create a new contact for your accounting system. Specify name and optional details like VAT, email, and country (ISO-3166 alpha-2).

Instructions

Create a contact. country is an ISO-3166 alpha-2 code (e.g. 'ES').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vatNo
nameYes
emailNo
notesNo
countryNo
legal_nameNo
is_customerNo
is_supplierNo
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior. It only states that a contact is created and explains the `country` parameter. Missing details include required permissions, side effects, return format, and validation behavior. This is insufficient for trust.

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 concise with one sentence, but is too brief for a tool with 8 parameters. It earns its place by stating purpose and clarifying one parameter, but lacks depth for other aspects. Acceptable but not optimal.

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 complexity (8 parameters, defaults, no output schema, no annotations), the description is incomplete. It does not explain all parameters, what the response looks like, or how creation fits with other tools like list_contacts. Significant gaps remain.

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?

Schema description coverage is 0%, so the description must compensate. It only explains the `country` parameter, leaving 7 out of 8 parameters (vat, name, email, notes, legal_name, is_customer, is_supplier) unexplained. This provides minimal added semantic value.

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

Purpose5/5

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

The description clearly states the verb and resource: 'Create a contact'. This is specific and distinguishes it from sibling tools like list_contacts, as there is no other creation tool. The purpose is unambiguous.

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. It does not mention prerequisites, conditions, or situations where this tool is not appropriate. Agents are left to infer usage from the name alone.

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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