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Append Table Rows

append_table_rows

Add rows to a structured table in Google Sheets to extend its range. Pass spreadsheet, table ID, and 2D values to append data at the end.

Instructions

Appends rows to a structured table in a Google Sheet. The rows are added to the end of the table body, automatically extending the table range.

Use list_sheet_tables first to find the table ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valuesYes2D array of values to append. Each inner list is one row. Can be a JSON string or Python list. Required.
table_idYesThe ID of the table to append to (get from list_sheet_tables). Required.
spreadsheet_idYesThe ID of the spreadsheet. Required.
user_google_emailYesThe user's Google email address. Required.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already indicate a non-read-only, non-idempotent, non-destructive operation. The description adds useful behavioral context by specifying that rows are appended to the end of the table body and that the table range automatically extends. This clarifies the exact side effect without contradicting the 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?

The description is short, front-loaded with the core action, and every sentence contributes: one defines the operation and behavior, the other provides the essential prerequisite. There is no redundant or filler content.

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 simple append operation, the description is complete: it covers what the tool does, the side effect on the table range, and the required discovery step for table_id. The output schema handles return-value expectations, and annotations handle the safety profile, so no critical guidance is missing.

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 100%, so the schema fully documents all four parameters. The description only reinforces that table_id comes from list_sheet_tables, which is already stated in the schema's table_id description, so it adds no significant new meaning.

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 states a specific verb and resource: 'Appends rows to a structured table in a Google Sheet.' It also explains the distinctive behavior—rows are added to the end of the table body and the range is automatically extended—which clearly separates it from plain spreadsheet writers like modify_sheet_values or table creation tools.

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 a concrete prerequisite: 'Use list_sheet_tables first to find the table ID,' which tells the agent the required preceding step. It does not explicitly discuss when not to use this tool or name alternatives, so it stops short of full when/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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