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create_contact

Create a contact in the household's address book. Only firstName is required; all other details (address, date of birth, notes, a flag to prepare a birthday present) are optional and can be filled in later with update_contact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoThe contact's email address.
notesNoFree-text notes about the contact.
phoneNoThe contact's phone number, in any format.
addressNoThe contact's postal address.
lastNameNoThe contact's last (family) name.
firstNameYesThe contact's first name. The only required field.
dateOfBirthNoYYYY-MM-DD format
displayNameNoAn alternate name to show for the contact instead of first/last, e.g. a nickname, company name, or role.
prepareBirthdayPresentNoWhether to prepare a birthday present for this contact

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
titleNo
messageNo
variantNo

TDQS

A4.2/5.0
Behavior3/5

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

Annotations (readOnlyHint=false, destructiveHint=false) already establish that this is a write operation. The description adds the useful nuance that only firstName is required and other details can be deferred, but it doesn't mention potential side effects like duplicate creation, validation constraints, or how the household is selected.

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 two sentences: the first states the primary purpose, the second clarifies required vs optional fields and mentions the update path. No redundant information, perfectly front-loaded and easy to parse.

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

Completeness4/5

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

With 9 parameters, nested objects, and an output schema, the description provides sufficient context: it clarifies the creation action, the minimal required field, and the ability to update later. The rich schema and output schema cover details like property formats and return values. A minor gap is not explaining which household is targeted, but that's likely implicit.

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

Parameters4/5

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

Schema coverage is 100% with descriptive property definitions, so baseline is 3. The description adds value beyond the schema's `required` array by stating that all other fields are optional and can be filled later, which clarifies the intended workflow and reduces the agent's uncertainty about which parameters to provide.

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 'Create a contact in the household's address book' – a specific verb and resource. It distinguishes itself from sibling tools like update_contact, delete_contact, and list_contacts by focusing on the creation action and noting that optional fields can be filled later with update_contact.

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

Usage Guidelines4/5

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

It explicitly names update_contact as the alternative for filling in optional details later, providing clear context for when to use this tool. However, it lacks explicit 'when not to use' conditions, such as if a contact already exists and should be updated instead.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct resource and action, with clear descriptions separating similar-sounding tools like create_calendar_event vs create_recurring_calendar_event. Shopping list operations (add, buy, remove, update) are clearly delineated.

Naming Consistency5/5

All tools follow a verb_noun snake_case pattern: create_*, list_*, update_*, delete_*, get_*, etc. Even special operations like store_memory, recall_memory, and skip_recommendation fit the pattern.

Tool Count1/5

With 68 tools, this server vastly exceeds a reasonable scope; the instruction manual indicates 50+ tools is an extreme mismatch. The breadth suggests the server should be split into focused sub-servers (tasks, shopping, calendar, etc.) rather than a single monolithic interface.

Completeness5/5

The tool surface covers full CRUD/lifecycle for all major resources: tasks, shopping, calendar, contacts, documents, appliances, vehicles, pets, recipes, meal plans, subscriptions, and memories. Additional features like house review, weather, and profile round out the household management domain.

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