Skip to main content
Glama

index_book_content

Downloads a book, extracts its text, splits it into chunks, and indexes the content for semantic search.

Instructions

Download a book file, extract text, split it into chunks, and index the content for semantic search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
book_idYes
format_nameYes
download_urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It usefully reveals that the tool will download, extract, split, and index content, but it does not disclose important side effects such as whether existing index entries are overwritten, whether duplicate indexing is handled, or whether network access or special permissions are required.

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?

The description is a single, front-loaded sentence with no filler. Each phrase adds meaning, and the sequence of actions is easy to scan.

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?

Even though an output schema exists and covers return values, the definition is incomplete for a tool with four required parameters and no annotations. It lacks parameter-level explanation, sibling differentiation, and any warning about side effects or prerequisites. An agent would struggle to know the exact meaning of format_name or what indexing does to prior indexed content.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the schema's lack of parameter documentation. It only loosely supports download_url via 'Download a book file' and gives no specific meaning for format_name, book_id, or title. The critical format_name parameter is entirely unexplained, including what values are accepted or how it relates to the download URL.

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?

The description states a clear, specific multi-step action: download a book file, extract text, split it into chunks, and index the content for semantic search. This clearly distinguishes it from sibling tools like search_book_content, which would query rather than build the index, and get_book_details, which would not perform chunking or indexing.

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?

The phrase 'for semantic search' implies the tool is used to prepare book content for semantic search, but the description does not explicitly state when to use this tool versus alternatives. It does not name sibling tools such as search_book_content as the appropriate choice for actually searching the indexed content.

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

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/gonzalochief/pergamos'

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