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check_in_attendee

Check an attendee in by ticket code or ticket id. Idempotent. Depending on the organization's settings, this either executes immediately or files a proposal for approval; the response status field says which happened.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgNoOrganization slug. Only needed when you belong to multiple organizations; must be one returned by list_my_orgs.
eventIdYesEvent id, as returned by list_events.
ticketIdNoThe ticket id to check in.
request_idYesClient-generated unique id for this write (e.g. a UUID). Retries with the same request_id return the original executed or proposed outcome instead of creating a duplicate. Never reuse a request_id for different arguments.
ticketCodeNoThe ticket code to check in.

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the annotations, the description reveals critical behavioral details: the operation is idempotent, it may either execute immediately or file a proposal for approval depending on organization settings, and the response status field indicates which path occurred. This materially helps an agent interpret outcomes.

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?

Three sentences with no filler. The core action is front-loaded, and each subsequent sentence delivers non-obvious information about idempotency and approval behavior.

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?

For a write operation with no output schema, the description covers the essential ambiguities: the possible execution paths and how to detect which occurred. Combined with the fully documented input schema, an agent has enough information to invoke the tool correctly.

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?

The schema already covers all parameter descriptions, so the baseline is 3. The description adds value by clarifying that ticketCode and ticketId are alternative ways to identify the attendee, which is not explicitly encoded in the schema's individual field descriptions.

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 states a specific operation: checking an attendee in, and identifies the accepted identifiers (ticket code or ticket id). This clearly separates it from sibling tools like list_attendees or get_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?

The first sentence explicitly establishes the tool's use case: checking in an attendee. It does not enumerate alternatives or exclusions, but the purpose is clear enough that an agent would know when to select it relative to the given siblings.

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

A3.6/5.0
Disambiguation3/5

Most tools use distinct resource+action patterns and descriptions actively disambiguate similar cases, but several pairs remain easy to confuse: search vs semantic_search, send_email vs send_speaker_message, and the cluster around submission handling (decide_submission, set_submission_status, update_form_pipeline). The descriptions help, but the overlap is more than a single edge case.

Naming Consistency4/5

The set overwhelmingly follows verb_noun snake_case (create_session, update_sponsor, list_events) and prefixes are applied predictably. Minor deviations like semantic_search, bare search, check_in_attendee, and list_tracks_rooms break the pattern slightly, but they are still readable and not chaotic.

Tool Count1/5

55 tools is an extreme surface for an MCP server, even for a broad event-management platform, and it exceeds the 50+ threshold for severe over-scoping. Many tools are micro-variants of the same domain—multiple send_* tools and several submission-status tools—creating high selection burden for an agent.

Completeness3/5

The server covers a wide range of event, CRM, session, sponsor, form, and email workflows, but there are notable lifecycle gaps: events can be created and read but not updated or deleted, email templates have no update/delete path, and full form submission details and approval actions are absent. These are significant but not catastrophic because much of the core scheduling and contact workflow is covered.

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