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AIWerk

mcp-server-smallinvoice

by AIWerk

create_offer

Create a new offer for a client by specifying contact details, dates, currency, language, and line items.

Instructions

Creates new offer

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numberNounique number - default value: 'next free number'
contact_idYesid of a contact
contact_address_idYesid of a contact's address
contact_prepage_address_idNoid of a contact's prepage address
contact_person_idNoid of a contact's person
dateYesdate of the offer
valid_untilYesdate that offer is valid until
period_textNoservice/delivery
currencyYescurrency (e.g. CHF, EUR)
vat_includedNowhether prices in offer include VAT - default value: false
discount_rateNooptional discount rate - default value: 0.0
discount_typeNooptional discount type; possible values: A - amount, P - in % - default value: 'P'
accept_onlineNowhether offer can be accepted online - default value: false
languageYeslanguage; possible values: de, en, es, fr, it
signature_idNosignature id
layout_idNolayout id
notesNooptional notes
custom_fieldsNocustom fields values
positionsYespositions objects
textsNotexts objects
free_textsNofree texts objects
Behavior2/5

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

The description does not add any behavioral details beyond what annotations already provide. Annotations indicate it is not read-only and not destructive, but the description fails to mention required fields, validation, or side effects of creation.

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

Conciseness2/5

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

While the description is very short, it is under-specified for a tool with 21 parameters. It lacks front-loading of key information and does not earn its place as a useful summary.

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?

Given the complexity of the tool (21 parameters, 7 required, no output schema), the description is completely inadequate. It provides no information about return values, creation process, or required inputs beyond the schema.

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 description coverage is 100%, so the baseline is 3. The description adds no additional parameter semantics beyond what the schema already documents.

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

Purpose2/5

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

The description 'Creates new offer' is a tautology that merely restates the tool's name. It does not provide any specificity about what an offer is or distinguish it from sibling creation tools like create_invoice or create_order_confirmation.

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?

No guidance is given on when to use this tool versus alternatives. The description lacks any context about prerequisites, typical use cases, or when to choose this tool over other creation tools.

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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