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make_spreadsheet

MAKES a spreadsheet template (Excel file with a How to Use sheet, a master template, 12 monthly sheets and a dashboard with charts; opens in Google Sheets) from the user's monthly allowance (Pro 20, Premium 40, Ultimate 60; not on Free). One to three minutes; answers with a job id for check_product. Saved in History > Spreadsheets.

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": {
      "topic": "<topic>"
    },
    "name": "make_spreadsheet"
  }
}

Input Schema

NameRequiredDescriptionDefault
yearNo
topicYesWhat it is for, specific, e.g. "Wedding budget with guest list and vendor payments".
featuresNo
platformNo
data_volumeNo
visual_styleNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full load and does well: it discloses cost/quota per plan tier, that Free is excluded, that the operation is asynchronous taking one to three minutes, that it returns a job id, and where the result is stored (History > Spreadsheets). It omits failure behavior and what happens if the allowance is exhausted.

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 dense sentence with the verb and output structure front-loaded and no filler, though the stacked parentheticals make it slightly hard to parse at first read.

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?

Rich on lifecycle (quota, duration, job id, storage location) but thin for a six-parameter tool with no output schema and no annotations — four undocumented parameters and the relationship between features/platform/style and the generated sheets go unexplained.

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 only 17% — just topic is documented — and the description does not compensate: it never mentions year, features, data_volume or visual_style, nor how their enum choices shape the output (features like Pivot tables or Macros, style, platform). Its statement that the result is an 'Excel file ... opens in Google Sheets' also sits awkwardly against a platform enum that includes Notion Database and Airtable.

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

Purpose5/5

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

Names a specific verb and resource (MAKES a spreadsheet template) and then enumerates the concrete artifact: How to Use sheet, master template, 12 monthly sheets, dashboard with charts. An agent can tell this apart from make_planner, make_ebook and make_website without opening any schema.

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?

It states the plan gating (Pro 20, Premium 40, Ultimate 60; not on Free) and the follow-up path (job id for check_product), which guides invocation. However, it never says when to prefer this over sibling makers like make_planner or make_ebook, and there are no explicit exclusions.

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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