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Get a series reading order

get_reading_path
Read-onlyIdempotent

One Greenlit series with its books in reading order. Use for questions like where to start with Claude Code or what order to read a series in.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seriesYesThe series slug.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / series / enum
      Previous value: -[
      -  "the-operators-ai-library",
      -  "the-ai-native-builder-canon",
      -  "understand-and-trust-ai",
      -  "build-agents-you-can-trust",
      -  "lead-govern-and-apply-ai",
      -  "ai-and-agentic-engineering",
      -  "the-claude-code-ladder",
      -  "the-agent-builders-workshop",
      -  "the-two-doors",
      -  "forward-deployed-engineering-handbooks",
      -  "the-complete-grok-bot-guide",
      -  "the-omarchy-books"
      -]New value: +[
      +  "the-operators-ai-library",
      +  "the-ai-native-builder-canon",
      +  "understand-and-trust-ai",
      +  "build-agents-you-can-trust",
      +  "lead-govern-and-apply-ai",
      +  "ai-and-agentic-engineering",
      +  "the-claude-code-ladder",
      +  "the-agent-builders-workshop",
      +  "the-two-doors",
      +  "forward-deployed-engineering-handbooks",
      +  "the-complete-grok-bot-guide",
      +  "the-omarchy-books",
      +  "the-personal-ai-computer"
      +]
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety and determinism are covered. The description adds only that output is a single series in reading order; it says nothing about empty/missing series behavior or result size. Adequate but thin beyond the 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?

Two short sentences, front-loaded with the resource and then the use case. No filler, though the example phrasing is slightly verbose relative to the information conveyed.

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 one-parameter, closed-world, read-only lookup with no output schema, the description supplies enough to call it correctly; the return shape is implied by 'books in reading order'. Only edge-case behavior is unaddressed.

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 coverage is 100% with a 13-value enum and a 'series slug' description, so the schema already carries the parameter meaning. The description adds no syntax or format guidance beyond that baseline.

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?

States a specific resource (one Greenlit series with its books) and the ordering guarantee (reading order). It is clearly distinct from lookup siblings like get_book or search_greenlit_books, though it does not name a sibling explicitly.

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

Usage Guidelines4/5

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

Gives concrete use cases ('where to start with Claude Code', 'what order to read a series in'), which tells the agent the intended question shape. No explicit when-not or named alternative, so it stops short of a 5.

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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