excel_read
Extract data from Excel (.xlsx) files, enabling AI agents to access spreadsheet content for analysis.
Instructions
Reads data from an Excel (.xlsx) file.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Extract data from Excel (.xlsx) files, enabling AI agents to access spreadsheet content for analysis.
Reads data from an Excel (.xlsx) file.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description should disclose behavior like scope (entire file or selection), output format, or limitations, but it does not.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single, efficient sentence with no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no parameters and no output schema; description omits critical details like file identification, data scope, and return format.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, and schema coverage is 100% (none). Description adds no meaning beyond the schema; baseline 4 is adjusted down because it fails to clarify how the file is identified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Reads' and the resource 'Excel (.xlsx) file', distinguishing it from siblings like excel_create and excel_write_cell.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives, or any prerequisites such as file path specification or sheet selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/lanchuske/local-mcp-releases'
If you have feedback or need assistance with the MCP directory API, please join our Discord server