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get_sheet_row

Retrieve a specific row from a Google Sheets spreadsheet and map it to the header row for structured data extraction.

Instructions

Fetch one Google Sheets row and map it to the header row.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
spreadsheet_id_or_urlYes
sheet_nameYes
row_indexYes
header_rowNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions mapping to header row but doesn't disclose behavioral traits like error handling (e.g., invalid row index), permissions needed, rate limits, or output format details. For a tool with no annotation coverage, this is a significant gap.

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?

Single sentence, zero waste, front-loaded with the core action. Every word earns its place by specifying the fetch operation and header mapping without unnecessary details.

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?

Given no annotations and 0% schema description coverage, but with an output schema present, the description is incomplete. It covers the basic purpose but lacks crucial context like parameter semantics and behavioral transparency. The output schema mitigates some gaps, but overall it's minimally adequate with clear deficiencies.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It mentions mapping to header row, which relates to the 'header_row' parameter, but doesn't explain the meaning or usage of other parameters like spreadsheet_id_or_url, sheet_name, or row_index. The description adds minimal value beyond the bare schema.

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 ('fetch') and resource ('one Google Sheets row'), and specifies the mapping to header row. It distinguishes from siblings like read_sheet_grid or read_sheet_values by focusing on single-row retrieval with header mapping, though not explicitly naming alternatives.

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?

No guidance on when to use this tool versus alternatives like read_sheet_values or search_sheet. The description implies it's for fetching a specific row with header mapping, but lacks explicit context or exclusions for usage.

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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