Skip to main content
Glama

get_chapter

Fetch a chapter and its lessons by providing the chapter name.

Instructions

Get a chapter with its lessons.

Args: chapter: The chapter name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chapterYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits beyond the basic operation. For a read-only tool, there is no mention of safety, idempotency, or error behavior. The output schema exists but the description adds no behavioral context.

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 extremely concise with two short sentences, no redundant information, and front-loaded with the core purpose.

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?

While the tool is simple with one parameter and has an output schema, the description lacks critical context such as return format details, pagination if any, or behavioral notes. Without annotations, it feels incomplete for an AI agent to use confidently.

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 coverage is 0%, so the description carries the burden. It only states 'chapter: The chapter name,' which adds minimal meaning over the schema's title 'Chapter.' There is no detail about format, examples, or constraints.

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 clearly states the tool retrieves a chapter along with its lessons, using a specific verb and resource. This distinguishes it from sibling tools like create_chapter, update_chapter, or get_course.

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?

No guidance is provided on when to use this tool versus alternatives such as list_cached_courses or get_course. The description lacks context about prerequisites or situational recommendations.

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/anggun-indra/frape-lms-mcp-tools'

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