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excel-mcp-server__excel_read_sheet

[Excel MCP Server] Read cell rows and values from a worksheet in an Excel (.xlsx) workbook.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "workbookName": "<workbookName>"
    },
    "name": "excel-mcp-server__excel_read_sheet"
  }
}

Input Schema

NameRequiredDescriptionDefault
rangeNoOptional A1 range notation such as A1:C10
sheetNameNoWorksheet tab name (defaults to first sheet)
workbookNameYesWorkbook filename (e.g. shelter-metrics.xlsx)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior1/5

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

The description frames this as a plain read operation ('Read cell rows and values'), while the annotations declare readOnlyHint=false and idempotentHint=false, telling an agent this is a non-read-only, non-idempotent call. The description does nothing to reconcile this conflict, so an agent gets directly opposing safety signals. Per the rules, a description that contradicts annotations scores 1 and is flagged.

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?

A single front-loaded sentence with no wasted clauses; the verb and resource come first. The '[Excel MCP Server]' prefix adds little for an agent that already sees the namespace, but it costs only a few tokens.

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?

There is no output schema, so the description should explain what is actually returned (row arrays, cell values, empty-range behavior, missing-workbook errors), and it does not. Combined with the unresolved read-only annotation conflict, an agent lacks enough information to interpret the result confidently.

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%, so all three parameters (range, sheetName, workbookName) are already documented with examples and defaults, establishing the baseline of 3. The description adds nothing on parameter behavior, notably not clarifying what happens when 'range' is omitted (whole used sheet).

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 gives a specific verb and resource ('Read cell rows and values from a worksheet') plus the file format (.xlsx), which is more informative than the tool name alone. It implicitly separates content reads from metadata siblings like excel_describe_sheets, but never names or rules out any sibling, so it stops short of a 5.

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?

Use is only implied: an agent can infer this is the tool for pulling data out of a sheet rather than writing or listing sheets. There are no stated preconditions (workbook must exist, sheet must exist) and no routing guidance toward excel_describe_sheets for metadata or excel_write_to_sheet for mutations.

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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