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Skeptomenos

google-workspace-mcp-advanced

by Skeptomenos

read_sheet_values

Reads values from a specific range in a Google Sheet by providing the spreadsheet ID and range. Returns formatted cell data for processing or analysis.

Instructions

Reads values from a specific range in a Google Sheet.

Args: user_google_email (str): The user's Google email address. Required. spreadsheet_id (str): The ID of the spreadsheet. Required. range_name (str): The range to read (e.g., "Sheet1!A1:D10", "A1:D10"). Defaults to "A1:Z1000".

Returns: str: The formatted values from the specified range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
spreadsheet_idYes
range_nameNoA1:Z1000

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It states it is a read operation, but does not elaborate on any side effects, permissions, or error behavior. Adequate but not rich.

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 very concise: one sentence for the tool purpose, then structured Args and Returns. No redundant information, and the important details are front-loaded.

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?

The description covers the tool's purpose, parameters, and return format. It is sufficient for a simple read tool, though it could mention potential errors or authentication context. The output schema is effectively described.

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

Parameters4/5

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

Schema coverage is 0%, but the description adds meaning for all parameters, including required fields and a default for range_name. This compensates well for the lack of schema 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 it reads values from a specific range in a Google Sheet, with a specific verb and resource. It is distinct from sibling tools like 'modify_sheet_values' (write) and 'get_spreadsheet_info' (metadata).

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 reading sheet data, but does not specify when not to use it or provide explicit comparisons to alternative tools. It lacks guidance on prerequisites or exclusion criteria.

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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