Skip to main content
Glama
chepetime

Calibre Librarian MCP Server

by chepetime

Get custom columns

get_custom_columns
Read-onlyIdempotent

Retrieve a list of all custom columns defined in your Calibre library, with names, labels, and data types. Optionally include detailed column info.

Instructions

List all custom columns defined in the Calibre library. Custom columns allow users to add their own metadata fields (e.g., 'Read Status', 'Owned Format', 'Priority'). Returns column names, labels, and data types.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailsNoIf true, include detailed information about each column (data type, display options). Default: false.
Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive. Description adds context about the nature of custom columns and return fields, which is consistent and adds value 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the main action, no unnecessary words. Every sentence adds value.

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 simplicity (no output schema, single optional parameter), the description sufficiently covers the tool's purpose and output. Could mention that column definitions are returned, not the actual values for books, but that's minor.

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 the details parameter fully described. Description does not add extra meaning beyond the schema, meeting the baseline for high coverage.

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?

Clear verb 'List' and resource 'custom columns'. Explanation of what custom columns are and what is returned (names, labels, data types) distinguishes it from sibling tools like get_all_tags or get_book_details.

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?

States what the tool does but does not explicitly guide when to use it vs alternatives like set_custom_column or search_books. No when-not or exclusion clauses.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/chepetime/calibre-librarian-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server