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get_book_details

Retrieve comprehensive book metadata including title, rating, and genre from Calibre libraries to support collection management and content analysis.

Instructions

Get detailed metadata for a book. fields: an optional list of metadata fields to return (e.g. ["title", "rating", "#genre"]). If not provided, returns all fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
book_idYes
fieldsNo
library_nameNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that the tool returns metadata, but doesn't specify permissions required, rate limits, error handling, or the format of the returned data (e.g., JSON structure). For a read operation with no annotation coverage, this leaves significant gaps in understanding how the tool behaves in practice.

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 concise and front-loaded, starting with the core purpose in the first sentence. The second sentence efficiently explains the 'fields' parameter. There's no wasted text, making it easy to parse quickly, though it could be slightly more structured with bullet points or clearer separation of ideas.

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

Completeness2/5

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

Given the complexity (3 parameters, no annotations, no output schema), the description is incomplete. It covers the tool's purpose and one parameter but misses details on behavior, usage context, and the other parameters. For a tool that retrieves metadata, more information on what metadata is available, error cases, or example outputs would be beneficial to fully guide an agent.

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?

The description adds some meaning for the 'fields' parameter by explaining it as 'an optional list of metadata fields to return' with examples, which is helpful since schema description coverage is 0%. However, it doesn't address the 'book_id' (required) or 'library_name' parameters, leaving their purposes unclear. With 3 parameters and low schema coverage, the description partially compensates but not fully.

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 the tool's purpose: 'Get detailed metadata for a book.' It specifies the verb ('Get') and resource ('detailed metadata for a book'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from siblings like 'get_book_content' or 'search_books', which might also retrieve book information but with different scopes or methods.

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 guidance on when to use this tool versus alternatives. With siblings like 'get_book_content' (likely for content retrieval), 'search_books' (likely for searching), and 'get_field_values' (possibly for specific fields), there's no indication of when this tool is preferred, such as for comprehensive metadata versus filtered results or other use cases.

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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