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batch_add_true_false

Batch add True/False questions to a Google Form with configurable correct answer, points, and required status. Optionally clear existing items.

Instructions

Bulk add True/False questions.

Each question dict: {"title": str, "correct": bool, "points": int?, "required": bool?}.
If clear_existing=True, deletes all existing items first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
form_idYes
questionsYes
start_indexNo
clear_existingNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions clear_existing deleting items, but lacks details on error handling, rate limits, authentication needs, or side effects beyond deletion.

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?

Description is concise with two sentences, front-loading purpose and immediately clarifying the question format and clear_existing behavior. No wasteful words.

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?

Has output schema, reducing need for return value explanation. However, with 4 parameters and no annotations, the description should cover 'form_id' and 'start_index' more explicitly. Currently adequate but not rich.

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 0%, so the description must compensate. It explains the 'questions' dict format and 'clear_existing' effect, but does not define 'form_id' or 'start_index', leaving gaps.

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 it's for bulk adding True/False questions ('Bulk add True/False questions'), which differentiates it from sibling tools like add_true_false_question (single question) and raw_batch_update (generic).

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 usage when adding multiple True/False questions in one call, but does not explicitly compare to alternatives like add_true_false_question or raw_batch_update, nor specify when NOT to use it.

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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