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skill_framework_apply

Read-onlyIdempotent

Apply a book's framework to any situation or text. Returns a structured worksheet with missing fields and agent instructions to guide analysis.

Instructions

Apply a book's named framework to a context (L3). Returns a structured worksheet with missing fields and agent instructions. Read-only (does not mutate library).

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": {
      "book_id": "<book_id>",
      "framework_id": "<framework_id>",
      "context": "<context>"
    },
    "name": "skill_framework_apply"
  }
}

Input Schema

Name	Required	Description	Default
`book_id`	Yes	Skill id.
`context`	Yes	The situation, design, or text to analyze.
`framework_id`	Yes	Framework id.
`field_values_json`	No	Optional JSON object of field name → string values, e.g. {"diagnosis":"..."}.	{}

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Jul 16, 2026

TDQS

A3.9/5.0

Behavior4/5

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

Annotations already indicate readOnlyHint and idempotentHint. The description reinforces read-only behavior and adds details about the return value (structured worksheet, agent instructions), providing useful behavioral context beyond annotations.

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?

The description is three sentences, front-loaded with the key action and output. It is clear and avoids unnecessary words, though could possibly be slightly more concise.

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?

Given the tool has 4 parameters (100% schema coverage), annotations, and output schema, the description adequately covers purpose, safety, and output. It does not explain the optional field_values_json usage, but the schema and output schema likely compensate.

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 adequately documents all parameters. The description adds no additional meaning beyond the schema; baseline score of 3 applies.

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 tool applies a named framework to a context (verb+resource), specifies the output (structured worksheet with missing fields and agent instructions), and notes the L3 level. This distinguishes it from sibling tools like skill_framework_list.

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?

Implicitly suggests usage context via 'Read-only (does not mutate library)' but does not explicitly state when to use this tool vs. alternatives or provide when-not-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.