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Update Superforms Draft

update_creation_session

Update a homepage creation handoff draft with the current form title, questions, and settings before the user clicks Set live.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalNo
titleNo
contextNoPrivate smart-follow-up context. Summarize relevant non-sensitive host-conversation context and append any extra context the creator provides. Never shown to respondents.
questionsNoCurrent draft questions to show in the live form preview.
followUpModeNo
responseModeNo
responseLimitNoUse one for a named person/client. Use multiple for feedback forms, surveys, customers, users, and public links.
creationSessionUrlYes
max_total_questionsNoUse 20 for deep-dive interviews.
max_followups_per_questionNoUse 0 by default. Use 1 only when smart follow-ups are explicitly requested.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / context / description
      Added value: +"Private smart-follow-up context. Summarize relevant non-sensitive host-conversation context and append any extra context the creator provides. Never shown to respondents."
    • changedInput schema / properties / max_followups_per_question / description
      Previous value: -"Use 1 for smart follow-ups by default. Use 0 when followUpMode is none."New value: +"Use 0 by default. Use 1 only when smart follow-ups are explicitly requested."
  2. Changed7 schema fields changed
    • addedInput schema / properties / context
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / followUpMode
      Added value: +{
      +  "enum": [
      +    "none",
      +    "smart",
      +    "deep_dive"
      +  ],
      +  "type": "string"
      +}
    • addedInput schema / properties / goal
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / max_followups_per_question
      Added value: +{
      +  "description": "Use 1 for smart follow-ups by default. Use 0 when followUpMode is none.",
      +  "type": "number"
      +}
    • addedInput schema / properties / max_total_questions
      Added value: +{
      +  "description": "Use 20 for deep-dive interviews.",
      +  "type": "number"
      +}
    • addedInput schema / properties / responseLimit
      Added value: +{
      +  "description": "Use one for a named person/client. Use multiple for feedback forms, surveys, customers, users, and public links.",
      +  "enum": [
      +    "one",
      +    "multiple"
      +  ],
      +  "type": "string"
      +}
    • addedInput schema / properties / responseMode
      Added value: +{
      +  "enum": [
      +    "voice_preferred",
      +    "text_only",
      +    "voice_only"
      +  ],
      +  "type": "string"
      +}
  3. Added

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only says 'update', which implies mutation, but does not explain side effects (e.g., whether it overwrites existing data, if permissions are needed, or what happens if the session is already live). It also doesn't describe the response or errors. The timing caveat 'before Set live' is helpful but insufficient for a mutation tool.

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, focused sentence that front-loads the verb 'Update'. It is concise with no filler, making the core purpose immediately clear.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is complex with 10 parameters, 3 enums, and no output schema. The description only covers the basic update action and timing. It omits behavioral details (return value, error conditions, prerequisites like session state), making it incomplete for an agent to fully understand consequences and use it correctly.

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 50%. The description mentions 'form title, questions, and settings', which maps to title, questions, and settings-related params (followUpMode, responseMode, etc.), providing some context beyond the raw schema. However, it does not describe all parameters like 'goal', 'creationSessionUrl', or the enum details, leaving gaps that the schema's own descriptions partially fill.

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 the tool's action ('Update'), the resource ('homepage creation handoff draft'), and the specific context ('before the user clicks Set live'). It distinguishes itself from sibling creation tools (create_form, create_ask) by focusing on updating an existing draft rather than creating new ones.

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 description provides clear usage context: updating the draft before the user clicks 'Set live'. It implies the tool is for pre-publication edits, but it doesn't explicitly mention alternatives or exclusions (e.g., when not to use it). This is clear context without explicit when-not guidance.

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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