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humanitix

Get check-in count

humanitix_get_check_in_count
Read-only

How many attendees have checked in for one date of an event, in total and per ticket type (ticket types with sales only, most check-ins first). BETA endpoint. Humanitix: GET /v1/events/{eventId}/check-in-count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_idYesThe event id (24-character hex id).
event_date_idYesThe event date id (24-character hex id).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds real context beyond that: the BETA status, the underlying HTTP route, and the ordering of results (ticket types with sales only, most check-ins first). It says nothing about pagination, permissions, or rate limiting, so it is solid but not rich.

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

Conciseness4/5

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

Two compact sentences: the return shape first, then BETA status and endpoint mapping. Every clause carries information and nothing is padded, though the endpoint line is marginal for an agent that does not call the REST API directly.

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 no output schema, the description compensates by describing what the response contains: a total plus a per-ticket-type breakdown, filtered to types with sales and sorted by check-in volume. Combined with the readOnlyHint annotation, an agent has enough to invoke and interpret this correctly; only pagination and error behavior are unaddressed.

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 coverage is 100%, so both required 24-hex ids are fully documented in the schema and the baseline is 3. The description reinforces that the count is scoped to a single event date and broken out per ticket type, but adds no format or constraint details beyond that.

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

Purpose4/5

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

States a precise verb and resource: 'How many attendees have checked in for one date of an event, in total and per ticket type'. The scope (single event date) and the aggregation shape are explicit, which separates it from sibling write tools like humanitix_check_in_ticket. It stops short of naming an alternative a caller might confuse it with, so sibling routing is implied rather than stated.

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?

There is no when-to-use or when-not-to-use guidance. The description never mentions the adjacent check-in/check-out tools or any condition under which this count should be preferred over listing tickets. Usage can only be inferred from the name and endpoint.

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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