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Update form settings

update_form_settings
DestructiveIdempotent

Toggles quiz mode (grading with points) and/or the email collection mode. Quiz mode only enables grading — points, correct answers and feedback are set per question afterwards via update_question with the questionItem.question.grading mask…

Instructions

Toggles quiz mode (grading with points) and/or the email collection mode. Quiz mode only enables grading — points, correct answers and feedback are set per question afterwards via update_question with the questionItem.question.grading mask (add_question cannot set them). email_collection_type: DO_NOT_COLLECT, VERIFIED (respondent must be signed in; email verified) or RESPONDER_INPUT (respondent types an email). At least one field is required; only the provided fields are touched.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
form_idYesThe form id — the long id from the form URL (docs.google.com/forms/d/<formId>/edit) or from create_form output.
is_quizNoTurn quiz mode on/off (enables per-question grading).
email_collection_typeNoHow respondent emails are collected.
Behavior5/5

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

Beyond annotations, it discloses partial-update semantics ('only the provided fields are touched'), explains the meaning of email_collection_type values (VERIFIED requires signed-in respondent, RESPONDER_INPUT lets respondent type email), and clarifies quiz mode only enables grading with per-question details set later. No contradiction with annotations.

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 dense sentences front-load the purpose and pack enum semantics, sibling-tool guidance, and update behavior without redundancy or filler. Every sentence earns its place.

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 settings-update tool with no output schema, the description covers the operation's scope, parameter meaning, partial updates, and the correct sibling tool for related grading configuration. The tool is fully usable based on the description alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds meaningful semantics: it explains what enabling quiz mode actually enables, expands each enum value with behavioral context, and states the at-least-one-field requirement. This goes well beyond the schema's property 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 clearly states the tool toggles quiz mode and/or email collection mode on a form, specifying exact fields and behavior. It distinguishes itself from siblings like update_form_info, update_question, and add_question by naming the specific form-level settings it manages.

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 gives explicit direction for when update_question should be used instead for per-question grading settings, and notes that add_question cannot set grading. It does not explicitly contrast update_form_info or set_publish_settings, but the scope is clear enough for correct selection.

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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