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excel_write_cell

Write data to Excel cells on macOS using AI agents. Update Microsoft Excel spreadsheets programmatically to automate data entry and reporting workflows.

Instructions

Write data to Excel cells

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • server.js:82-86 (registration)
    Registration of excel_write_cell tool (and all other tools) using server.tool(). This is a stub implementation that returns a generic message.
    for (const [name, desc] of TOOLS) {
      server.tool(name, desc, {}, async () => ({
        content: [{ type: "text", text: "This is an inspection stub. Install Pilot MCP on macOS: npx -y local-mcp@latest setup" }],
      }));
    }
  • server.js:65-65 (registration)
    Definition of excel_write_cell in the TOOLS array with its description
    ["excel_write_cell", "Write data to Excel cells"],
  • Header comments explaining this is a stub server and imports for MCP server setup
    #!/usr/bin/env node
    /**
     * Minimal MCP stub for Glama inspection.
     * Lists all Pilot MCP tools so Glama can detect them.
     * The real server is a native macOS binary.
     */
    const { McpServer } = require("@modelcontextprotocol/sdk/server/mcp.js");
    const { StdioServerTransport } = require("@modelcontextprotocol/sdk/server/stdio.js");
    const { z } = require("zod");
    
    const server = new McpServer({ name: "pilot-mcp", version: "2.2.0" });
Behavior1/5

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 but provides none. It doesn't state whether writes are destructive, if the operation is idempotent, what happens if the file doesn't exist, or any rate limiting concerns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely brief (4 words) and front-loaded, but this brevity reflects under-specification rather than efficient information density. It wastes no words, but also fails to earn its place as a useful descriptor.

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

Completeness1/5

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

For a mutation tool writing to Excel files, the description is severely incomplete. It lacks file path references, cell addressing, data format specifications, output confirmation, and safety warnings. The empty parameter schema suggests this may be a documentation error, but as presented, context is missing.

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

Parameters4/5

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

The input schema contains 0 parameters with 100% description coverage. Per evaluation rules, 0 parameters establishes a baseline score of 4, as there are no parameter semantics to clarify beyond the schema structure.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Write data to Excel cells' is essentially a tautology that restates the tool name (excel_write_cell). It fails to distinguish from siblings like excel_create or excel_read, and doesn't clarify scope (e.g., does it overwrite existing cells, create new files, or require an existing workbook?).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance provided on when to use this versus excel_create or excel_read. No mention of prerequisites (e.g., whether the file must exist first), data format requirements, or error conditions.

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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