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create_person

Add a new contact to LunaTask with required name and optional details like email, phone, birthday, and relationship category. Prevents duplicate entries by tracking source.

Instructions

Create a person/contact in LunaTask. Requires first_name and last_name. Optional relationship_strength (family, intimate-friends, close-friends, casual-friends, acquaintances, business-contacts, almost-strangers), source/source_id for duplicate detection, email, birthday (YYYY-MM-DD), and phone. Returns person_id or duplicate status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
first_nameYes
last_nameYes
relationship_strengthNo
sourceNo
source_idNo
emailNo
birthdayNo
phoneNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are present, so the description carries full burden. It mentions duplicate detection (returns person_id or duplicate status) and lists all parameters. However, it does not disclose potential side effects or limits, which is acceptable for a simple create operation.

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 concise sentences with no extraneous information. It front-loads the purpose and required fields, then lists optional parameters efficiently.

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

Completeness5/5

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

Given the tool's complexity (8 parameters, output schema exists), the description covers all essential aspects: required and optional fields, format hints, and duplicate detection behavior. It is complete for an agent to use effectively.

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

Parameters5/5

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 provides enumerated values for relationship_strength, a date format for birthday, and clarifies the purpose of source/source_id for duplicate detection. This adds significant meaning beyond the schema.

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 it creates a person/contact in LunaTask, with a specific verb and resource. The sibling tools target different entities (journal entries, notes, tasks, etc.), so this tool is distinctly identifiable.

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?

The description indicates required fields (first_name, last_name) and explains optional fields like source/source_id for duplicate detection. While it doesn't explicitly state when not to use this tool, the context of sibling tools makes the usage clear.

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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