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AI Readiness Kit

by io.github.silverbackmarketing
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generate_rag_jsonl

Convert rag-index.json content (JSON array) to rag-index.jsonl (one JSON object per line)

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": {
      "rag_index_json": "<rag_index_json>"
    },
    "name": "generate_rag_jsonl"
  }
}

Input Schema

NameRequiredDescriptionDefault
rag_index_jsonYesString contents of rag-index.json (must be a JSON array)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior2/5

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

No annotations exist, so the description must fully inform the agent of behavioral traits. It only describes the conversion process but omits potential side effects (e.g., whether the original file is modified, if output overwrites existing files, or if there are permissions required). This is insufficient for a risk-aware agent.

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 a single, clear sentence that conveys the essential information without any redundancy. Every word serves a purpose, and it is appropriately front-loaded.

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

Completeness4/5

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

For a simple conversion tool with a single parameter and no output schema, the description covers the core operation and output format. It lacks details on error handling or input validation, but given the low complexity, it is largely complete.

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?

With 100% schema description coverage, the baseline is 3. The tool description does not add any additional meaning beyond the schema's parameter description; it merely restates the conversion purpose. The parameter documentation in the schema is already adequate.

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 uses a specific verb 'Convert' and identifies both the source ('rag-index.json content (JSON array)') and the target ('rag-index.jsonl (one JSON object per line)'), making the tool's function immediately clear. It distinguishes itself from sibling tools like 'generate_ai_readiness_files' by addressing a unique conversion task.

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

Usage Guidelines2/5

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

The description provides no indication of when to use this tool versus alternatives, nor does it mention any prerequisites or context. The sibling tools are unrelated, so the lack of guidance leaves an AI agent without decision-making support for selecting this tool.

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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