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Glama

get_registration_stats

Read-only

Get registration statistics and the active ticketing provider rail. Returns configured:false when no ticketing rail is configured.

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.

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds valuable behavioral context beyond annotations by stating that the tool returns configured:false when no ticketing rail is configured, which is a meaningful edge-case behavior an agent should know.

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 a single, front-loaded sentence that states the core purpose first and then adds the key caveat about configured:false. Every word earns its place, with no redundancy or filler.

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?

There is no output schema, so the description must carry some burden for explaining return values. It partially does by naming the active ticketing provider rail and the configured:false sentinel, but 'registration statistics' is vague and does not specify what fields or metrics will be returned. The description is adequate for invoking the tool but not fully complete for downstream use.

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%, and both eventId and org are already documented in the schema. The description adds no additional parameter-level meaning beyond what the schema provides, so the baseline score of 3 is appropriate.

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 a specific verb and resource: 'Get registration statistics and the active ticketing provider rail.' This is distinct from sibling tools like get_event, get_agenda, and get_review_progress, so an agent can identify it as the registration-stats tool without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool but gives no explicit guidance, exclusions, or alternatives. There is no statement like 'use this when you need registration counts' or 'instead of list_attendees.' The intended usage is fairly obvious from the name and description, but the guidance is implicit rather than explicit.

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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