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register_for_event

Register a member for an event with optional notes. Provide event ID and member ID to complete sign-up.

Instructions

Register a member for an event.

Use when: "sign Sarah up for the Tuesday clinic".

Args: event_id: Target event id. member_id: Member to register. notes: Optional notes (partner name, skill level, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
event_idYes
member_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It only states the basic action, omitting important details such as idempotency, error conditions (e.g., duplicate registration), or the response format. This lack of transparency is a significant gap.

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 extremely concise: three sentences plus the parameter list. It front-loads the purpose and usage example, with every sentence adding value. No unnecessary content.

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?

For a simple registration tool with 3 parameters and an output schema (not described), the description covers the essential usage. It lacks details about the return value or error handling, but given the tool's straightforward nature and sibling context, it is mostly complete.

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?

With 0% schema description coverage, the description compensates by listing and describing each parameter: 'Target event id,' 'Member to register,' and 'Optional notes (partner name, skill level, etc.).' While not exhaustive, this adds sufficient meaning beyond the schema's type and name.

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 tool's action: 'Register a member for an event.' It provides a concrete usage example ('sign Sarah up for the Tuesday clinic'), which reinforces the purpose. The tool is distinct from siblings like cancel_event_registration and list_event_registrations.

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 explicitly includes a 'Use when' clause with an example, giving clear context for when to invoke this tool. However, it does not mention when not to use it or provide alternatives, which would improve guidance.

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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