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grahama1970

Claude Code MCP Enhanced

by grahama1970

convert_task_markdown

Transform markdown task files into Claude Code MCP-compatible JSON format for execution, enabling streamlined task automation and processing.

Instructions

Converts markdown task files into Claude Code MCP-compatible JSON format. Returns an array of tasks that can be executed using the claude_code tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
markdownPathYesPath to the markdown task file to convert.
outputPathNoOptional path where to save the JSON output. If not provided, returns the JSON directly.
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions the return value (array of tasks) and output behavior (saving or returning JSON), but doesn't cover critical aspects like error handling, file format requirements, or performance implications. For a tool with no annotations, this is insufficient.

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?

The description is concise and front-loaded with the core purpose in the first sentence, followed by a clear statement of the return value and usage context. Every sentence adds value without redundancy, making it efficient and well-structured.

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?

Given no annotations, no output schema, and 2 parameters with full schema coverage, the description is minimally adequate. It covers the basic purpose and output but lacks details on behavioral traits, error cases, or integration with sibling tools. This meets the minimum viable threshold but has clear gaps.

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 description coverage is 100%, so the schema fully documents both parameters. The description adds no additional parameter semantics beyond what the schema provides (e.g., it doesn't explain markdown file structure or JSON format details). Baseline 3 is appropriate when schema does the heavy lifting.

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 clearly states the tool's purpose: converting markdown task files to Claude Code MCP-compatible JSON format. It specifies the verb 'converts' and the resource 'markdown task files', and mentions the output format. However, it doesn't explicitly differentiate from sibling tools like 'claude_code' or 'health', which would require 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?

The description implies usage by stating the output can be executed using 'claude_code', suggesting a workflow. However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., direct use of 'claude_code' or other conversion methods) or any prerequisites. This is adequate but has gaps.

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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