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AIWerk

mcp-server-smallinvoice

by AIWerk

create_contact_person

Add a new contact person to an existing contact. Provide required details like name, surname, and gender, along with optional fields such as email, phone, and department.

Instructions

Creates new person for specified contact

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contact_idYescontact ID
defaultNowhether it is a default contact's person - default value: false
nameYesname
surnameYessurname
genderYesgender (possible values: M, F)
emailNoemail
phoneNophone
departmentNodepartment
salutationNosalutation
show_titleNowhether to show Mr/Ms before name - default value: false
show_departmentNowhether to show department - default value: false
wants_newsletterNowhether person whishes to receive newsletter - default value: true
custom_fieldsNocustom fields values
Behavior3/5

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

Annotations already show readOnlyHint=false and destructiveHint=false, which align with the description's 'Creates' action. The description adds no further behavioral context (e.g., permissions, side effects), but annotations cover the basics adequately.

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

Conciseness5/5

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

The description is a single, front-loaded sentence that conveys the core purpose without unnecessary words. It is highly concise and easy to parse.

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?

Despite 13 parameters and no output schema, the description does not mention what the tool returns (e.g., created person's ID) or that the contact must exist. This omission reduces completeness for a complex create operation.

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

Parameters3/5

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

Schema coverage is 100% with descriptions for each parameter. The tool description adds no additional parameter-level semantics beyond what the schema provides, so a baseline score of 3 is appropriate.

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 action ('Creates new person') and the object ('for specified contact'), distinguishing it from sibling tools like 'create_contact' which create a contact entity itself. The title from annotations reinforces the purpose.

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?

No explicit guidance on when to use this tool vs alternatives (e.g., when a contact already exists, or when to use 'update_contact_person'). The purpose implies usage when adding a person to an existing contact, but prerequisites or conditions are not mentioned.

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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