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get_sheet_data

Read cell values from an Excel worksheet. Specify a sheet name and optional range to return rows of data, or retrieve the entire used range when no range is given.

Instructions

Return cell data from a sheet.

  • sheet_name: name of the sheet to read

  • cell_range: optional Excel range string (e.g. "A1:D10"). When omitted the entire used range is returned.

Returns a dict with:

  • sheet: sheet name

  • range: the range that was read

  • rows: list of rows; each row is a list of cell values

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
cell_rangeNo
sheet_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden. It discloses the read behavior, the optional range behavior including the full-used-range fallback, and the exact return dict keys. This is reasonably transparent for a read-only retrieval tool, though it does not mention failure behavior.

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 compact, front-loaded with the purpose, and uses a scannable bullet structure for parameters and return values. Every line adds useful information, though the missing file_path note prevents a perfect score.

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?

The description covers the main read behavior and return shape, and an output schema exists, so return-value explanation is less critical. However, it fails to describe a required parameter and gives no selection guidance against sibling tools. This leaves the agent with an incomplete picture for reliable tool invocation.

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 documents sheet_name and cell_range well, including the Excel range format and default behavior, but it omits file_path entirely even though file_path is a required parameter. This is a significant gap.

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 opens with a specific verb and resource: 'Return cell data from a sheet.' This clearly identifies the tool's core function, though it does not explicitly distinguish it from the sibling get_table_data or the export variants.

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?

There is no guidance on when to use this tool versus get_table_data, list_sheets, or the export tools. The only usage-related detail is the optional cell_range behavior, which is parameter-level rather than tool-selection guidance.

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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