Skip to main content
Glama

Modify Sheet Values

modify_sheet_values
Destructive

Write, update, or clear values in a specific range of a Google Sheet. Accepts 2D arrays and supports user-entered or raw input.

Instructions

Modifies values in a specific range of a Google Sheet - can write, update, or clear values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYesThe user's Google email address. Required.
spreadsheet_idYesThe ID of the spreadsheet. Required.
range_nameYesThe range to modify (e.g., "Sheet1!A1:D10", "A1:D10"). Required.
valuesNo2D array of values to write/update. Can be a JSON string or Python list. Required unless clear_values=True.
value_input_optionNoHow to interpret input values ("RAW" or "USER_ENTERED"). Defaults to "USER_ENTERED".USER_ENTERED
clear_valuesNoIf True, clears the range instead of writing values. Defaults to False.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already indicate destructiveHint=true. The description adds that it can write, update, or clear values, but does not explain overwrite behavior or that the entire range is replaced. This is marginal additional context.

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 efficient sentence that front-loads the action, with no wasted words. It is appropriately concise.

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?

The description covers the core function but lacks usage guidelines, prerequisites (e.g., edit permissions), and behavioral details like dimension matching. With output schema present, return values are handled, but more context is needed for safe usage.

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% with clear parameter descriptions. The description does not add significant meaning beyond what the schema provides, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it modifies values in a specific range of a Google Sheet and lists operations: write, update, or clear. It implicitly distinguishes from siblings like read_sheet_values and append_table_rows, but could be more explicit about replacing versus appending.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like read_sheet_values or append_table_rows. Given the large set of sibling tools, explicit usage context is missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/chadvdwww-hash/worksuite-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server