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get_range_data

Extract formatted data from specific spreadsheet ranges to analyze or process spreadsheet information programmatically.

Instructions

Get data from a specific range with formatting options

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
spreadsheet_idYesThe ID of the Google Spreadsheet
rangeYesThe range to read (e.g., 'Sheet1!A1:C10')
value_render_optionNoHow to render valuesFORMATTED_VALUE
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'formatting options' but does not cover critical aspects such as whether this is a read-only operation, potential rate limits, authentication needs, error handling, or what the output looks like (e.g., data format, pagination). This leaves significant gaps for a tool that interacts with external data.

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 a single, efficient sentence that front-loads the core purpose ('Get data from a specific range') and adds a relevant detail ('with formatting options'). There is no wasted verbiage, though it could be slightly more structured by explicitly mentioning the tool's scope or limitations.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of interacting with a spreadsheet API, no annotations, and no output schema, the description is insufficient. It lacks details on behavioral traits (e.g., read-only nature, error cases), output format, and how it differs from sibling tools, making it incomplete for safe and effective agent use.

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?

The input schema has 100% description coverage, providing clear details for all three parameters, including enums for 'value_render_option'. The description adds minimal value by hinting at 'formatting options', which aligns with the schema but does not elaborate beyond it. This meets the baseline for high schema coverage.

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 the action ('Get data') and resource ('from a specific range'), distinguishing it from siblings like 'get_sheet_metadata' or 'list_sheets' that handle metadata or listing. However, it does not explicitly differentiate from 'read_sheet_data' or 'search_sheet_data', which might also involve reading data, making it slightly less specific than a perfect score.

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_data' or 'search_sheet_data'. It mentions 'formatting options' but does not specify contexts, exclusions, or prerequisites for selection, leaving the agent to infer usage based on parameter names alone.

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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