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Get a book

get_book
Read-only

One book: synopsis, authors, year, series position, genres and its siftivo.com page. Suits "what is X about" and "is X part of a series". For a linked reader it also answers "would I like X", since a book that fits their taste says why. Takes a workId or a full siftivo.com slug.

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": {
      "id": "<id>"
    },
    "name": "get_book"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesA Siftivo work id, edition id, or URL slug

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish that this is a safe read-only, closed-world operation. The description adds useful behavior beyond that by listing the returned fields and explaining that linked readers may get taste-based explanatory context. It does not cover error behavior or authentication requirements, but those are secondary here.

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 compact and front-loads what the tool returns before moving to use cases and input forms. The sentences are slightly fragmented, but nearly every clause adds relevant information without repetition.

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 one-parameter read tool with no output schema, the description supplies the returned content, query scenarios, conditional personalization behavior, and accepted identifier forms. It omits not-found/error behavior, but otherwise gives an agent enough to invoke the tool correctly.

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 parameter is already well documented as a Siftivo work id, edition id, or URL slug. The description adds only a modest clarification that full siftivo.com slugs are accepted and uses 'workId' rather than 'edition id', so it does not add much beyond the schema.

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 that this retrieves a single book and enumerates its returned content: synopsis, authors, year, series position, genres, and page. It is distinguishable from broad search or personal-library tools by emphasizing 'One book' and input by workId or slug. It stops short of explicitly naming sibling alternatives, so it is strong but not fully differentiated.

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?

It gives concrete usage contexts such as 'what is X about' and 'is X part of a series', and notes the personalization case for linked readers. The main gap is that it does not explicitly say when to prefer search_books, get_my_book, or other siblings, nor when not to use 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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