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bhandzo
by bhandzo

create_sample_files

Generate a sample markdown file with task lists formatted for MCPOSprint to test printing functionality or learn the required format.

Instructions

Generate a sample markdown file to test MCPOSprint functionality.

Creates 'sample_cards.md' in the current directory with example task lists formatted for MCPOSprint. Perfect for testing your setup or learning the markdown format before creating your own task lists.

Returns: Success message confirming file creation

Generated file includes: - Multiple task sections (Morning, Work, Evening) - Examples of priority tasks (marked with *) - Proper formatting with ## headers and - bullets

Use the generated file with process_static_cards tool to test printing. Configuration is handled via environment variables in your MCP client.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries full burden and does well by disclosing key behaviors: it creates a file in the current directory, includes specific content details (multiple task sections, priority examples, formatting), and mentions configuration via environment variables. It doesn't cover potential errors or file overwriting behavior, keeping it from a perfect score.

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

Conciseness5/5

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

Well-structured with clear sections (purpose, file details, usage guidance). Every sentence adds value: explains what it does, what the file contains, how to use it, and configuration method. No redundant or wasted text.

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

Completeness5/5

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

Given the tool's simplicity (0 parameters, has output schema), the description is complete. It explains the purpose, output format, file contents, usage context, and configuration method. With an output schema present, it doesn't need to detail return values beyond mentioning 'Success message confirming file creation'.

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?

With 0 parameters and 100% schema coverage, the baseline would be 4. The description appropriately explains that no parameters are needed ('Configuration is handled via environment variables'), which adds useful context beyond the empty schema.

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?

The description clearly states the specific action ('Generate a sample markdown file'), resource ('sample_cards.md'), and purpose ('to test MCPOSprint functionality'). It distinguishes itself from siblings like 'task_cards_from_notion' or 'todo_list_cards_from_markdown' by focusing on creating a test file rather than processing external sources.

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

Usage Guidelines5/5

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

Explicitly states when to use this tool ('Perfect for testing your setup or learning the markdown format') and provides a clear alternative ('Use the generated file with process_static_cards tool to test printing'). It also distinguishes from siblings by indicating this is for sample generation rather than actual task processing.

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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