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google-workspace-mcp-server

by EveryInc

Append Spreadsheet Values

sheets_append_values

Append rows of data to a Google Spreadsheet table. Specify the spreadsheet ID, range, and values to add new rows.

Instructions

Append rows of data to the end of a table in a Google Spreadsheet.

Args:

  • spreadsheet_id (string): The ID of the Google Spreadsheet

  • range (string): The A1 notation range defining the table to append to (e.g., 'Sheet1!A:D')

  • values (array): 2D array of values to append (rows of cells)

  • value_input_option ('RAW' | 'USER_ENTERED'): How to interpret input (default: 'USER_ENTERED')

  • insert_data_option ('OVERWRITE' | 'INSERT_ROWS'): How to insert data (default: 'INSERT_ROWS')

Returns: { "spreadsheetId": string, "tableRange": string, "updates": { "updatedRange": string, "updatedRows": number, "updatedCells": number } }

Examples:

  • Append rows: range="Sheet1!A:D", values=[["Alice", 30, "Engineer", "NYC"]]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
spreadsheet_idYesThe ID of the Google Spreadsheet
rangeYesThe A1 notation range to append to (e.g., 'Sheet1!A:D')
valuesYes2D array of values to append (rows of cells)
value_input_optionNoHow to interpret input: 'RAW' for literal values, 'USER_ENTERED' to parse formulasUSER_ENTERED
insert_data_optionNoHow to insert: 'INSERT_ROWS' adds new rows, 'OVERWRITE' overwrites existingINSERT_ROWS
Behavior4/5

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

Annotations indicate mutation (readOnlyHint false) and non-destructive (destructiveHint false). The description adds that it appends rows, returns update metadata, and provides an example. It does not contradict annotations and adds useful behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a clear intro, parameter list, return type, and example. It is moderately sized and front-loads purpose. Could be slightly more concise but is efficient overall.

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?

Despite no output schema, the description provides a detailed return structure. It covers parameters, defaults, and an example. Missing error scenarios or auth details, but sufficient for basic usage given complexity.

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 coverage is 100%, so the description does not add significant meaning beyond what's already in the schema. It restates parameters and includes an example, but baseline is 3 due to full schema coverage.

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 'Append rows of data to the end of a table in a Google Spreadsheet.' It uses a specific verb ('append') and resource, and the title reinforces the action. It distinguishes from siblings like updates and batch operations.

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 for adding new rows to the end of a table, but does not explicitly state when to use it over alternatives like sheets_update_values or sheets_batch_update. No when-not or alternative tool guidance is provided.

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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