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register_for_event

Register an attendee for a public event using the event slug and email address. Get confirmation with status and event date.

Instructions

Register an attendee for a public event by slug. Returns confirmation with status and event date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesEvent slug (the part after /e/ in the URL)
emailYesAttendee email address
last_nameNoAttendee last name (optional)
first_nameNoAttendee first name (optional)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It discloses that registration is for public events and returns a confirmation, but does not mention side effects (e.g., email sent, payment), auth requirements, or error cases. For a mutation tool, this is insufficient.

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?

Two sentences with no fluff. Every word adds value: verb, resource, input method, output summary. Ideal conciseness.

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

Completeness3/5

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

For a tool with 4 parameters and no output schema or annotations, the description is somewhat complete: it states input (slug, email) and output (confirmation with status and date). However, it omits details about optional parameters (last_name, first_name), possible status values, and error handling.

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 schema already describes all parameters. The description adds only the phrase 'by slug' which aligns with the slug parameter. No additional meaning beyond the schema is provided.

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 verb 'Register', the resource 'attendee for a public event', and the method 'by slug'. It also mentions the return value, distinguishing it from siblings like create_event (creates an event) and get_event (retrieves event info).

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?

The description provides no explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or conditions (e.g., event must be public). The agent is left to infer usage from context.

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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