Get one event's overview: details, venue, deep links, and live counters (speakers, sessions by status, sponsors, tracks, rooms, submissions) in stats. Registration counts are not included yet.
| Name | Required | Description | Default |
|---|---|---|---|
| org | No | Organization slug. Only needed when you belong to multiple organizations; must be one returned by list_my_orgs. | |
| eventId | Yes | Event id, as returned by list_events. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish readOnlyHint=true and destructiveHint=false, so the safe read nature is covered. The description adds value beyond those annotations by disclosing the response shape (stats with specific counters) and a known limitation (registration counts absent). This is useful behavioral context for an agent deciding whether to invoke the tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no filler. It front-loads the core purpose, then enumerates the specific content included, and ends with a clear caveat. Every clause earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a low-complexity, read-only tool with only two well-documented parameters and no output schema, the description provides a complete mental model of what the tool returns and its limitation. An agent has enough information to select and invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with both eventId and org already documented meaningfully (eventId as returned by list_events; org as returned by list_my_orgs). The description does not add parameter-specific semantics, but with full schema coverage the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb and resource: 'Get one event's overview.' It enumerates the exact content covered (details, venue, deep links, live counters) and the named stats categories, making it clearly distinguishable from sibling tools like get_session, get_agenda, and get_registration_stats.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly frames when to use this tool: to retrieve a single event's overview with counters. It also provides an explicit exclusion—'Registration counts are not included yet'—which signals that a different tool (e.g., get_registration_stats) is needed for that data. It does not name the alternative explicitly, but the context is clear enough.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.