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set_submission_status

Move a form submission through the pipeline (submitted, under_review, approved, waitlisted, rejected). 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.
noteNoOptional decision note recorded on the submission.
formIdYesThe form id.
statusYesThe new submission status.
eventIdYesEvent id, as returned by list_events.
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.
submissionIdYesThe submission id.

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already indicate this is a write operation that is not flagged destructive, but the description adds meaningful behavioral context beyond that: whether the change executes immediately or becomes a proposal depends on organization settings, and the response indicates which path was taken. This helps the agent anticipate side effects and response semantics.

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 compact, front-loaded with the core action, and uses only two sentences. The status list is directly useful, and the second sentence explains a critical behavioral nuance without unnecessary elaboration.

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?

For a tool with seven parameters and no output schema, the description covers the most important ambiguity: whether the status change is immediate or requires approval. It also gives a hint about the response. It could be more complete by addressing error cases or how proposals are later resolved, but the schema and annotations fill many gaps.

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?

Input schema description coverage is 100%, so the parameters are already well documented in the schema. The description adds little new parameter-level meaning; it repeats the status enum values and mentions a response status field, but does not deepen understanding of org, note, request_id, or IDs beyond what the schema already provides.

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?

The description clearly states the tool's action: moving a form submission through a defined pipeline of statuses, and it enumerates the five allowed states. This is specific enough to identify the resource and operation, though it does not explicitly distinguish itself from overlapping siblings like decide_submission or update_form_pipeline.

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 explains how the tool behaves (immediate execution vs. filing a proposal) but gives no direct guidance about when to choose this tool over alternatives. It does not name sibling tools or state conditions like 'use decide_submission when...' so an agent must infer usage purely from the name and general wording.

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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