get_reading_pathOne 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.
| Name | Required | Description | Default |
|---|---|---|---|
| series | Yes | The series slug. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the disclosure burden. It states that the tool returns one Greenlit series with its books in reading order, which conveys the core read behavior and ordering guarantee. It does not elaborate on output shape, error behavior, or assumptions about the slug, but for a simple read getter this is acceptable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences with no filler. It front-loads the core promise and then gives practical example questions that help an agent recognize when to invoke the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter tool with a closed enum, the description plus schema gives an agent enough to select and invoke it correctly. It states the return content (series plus ordered books) and typical use. There is no output schema, so a bit more detail about exact response fields could help, but the tool's simplicity makes this a minor gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already covers the single parameter fully, providing a 12-value enum and a description for the series slug. The description adds contextual meaning by clarifying that the selected series' books are returned in reading order. Baseline 3 is appropriate because the schema does most of the parameter-documentation work.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb+resource ('get... series with its books in reading order') and gives concrete example questions. It clearly differentiates from sibling tools like get_book or search_greenlit_books by focusing on whole-series reading order. The phrase 'One Greenlit series' scopes the return value.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly frames the intended scenario: 'Use for questions like where to start with Claude Code or what order to read a series in.' This gives clear context for when the tool applies. However, it does not name sibling alternatives or state when not to use it, so it stops short of full routing guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a clearly distinct action: topic discovery, full-text search, book details, concept lookup, free chapter text, and reading paths. The only pair that could overlap—find_books_for_topic and search_greenlit_books—is cleanly separated by curated topic mapping versus ranked full-text search.
Four tools follow the get_* pattern, while the two discovery tools use find_ and search_. This is readable and predictable, with only a minor deviation in verb choice and one name including the server brand.
Six tools is a well-scoped size for a book catalog server. Each tool covers a distinct user need without redundant or bloated surface area.
The surface covers the full reader journey: discover via topic or search, get book details, read the free chapter, understand the concept, and follow a reading path. No obvious dead ends or missing core operations for a catalog-focused server.