get_book_metadata
Retrieve the full metadata.yaml for a book using its slug, providing all metadata details in one call.
Instructions
Return the full metadata.yaml for one book.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Retrieve the full metadata.yaml for a book using its slug, providing all metadata details in one call.
Return the full metadata.yaml for one book.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral disclosure burden. It clearly indicates the tool is a read operation that returns a metadata file, which covers the basic behavior. It does not mention potential errors, required permissions, or output formatting details, but for a simple retrieval tool the stated behavior is reasonably transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is clear, direct, and free of filler. Every word contributes meaning, and it is appropriately sized for the tool's simplicity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a low-complexity tool with one required parameter and no output schema, the description gives the essential action and result. However, it does not explain the expected return format in detail or specify that the slug should come from a source like list_books, leaving minor but relevant context gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 parameter meaning, but it does not explain that the slug is the book identifier or how to obtain it. The only hint is the phrase 'for one book,' which is weak and leaves the agent to infer that the slug parameter selects that book.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Return') and a specific resource ('the full metadata.yaml for one book'), making the purpose clear. It is distinct from siblings like list_books or get_chapter_summary by mentioning 'metadata.yaml', but it does not explicitly differentiate itself from sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use this tool: when you need the full metadata YAML for a single book. However, it offers no explicit guidance about when not to use it or which alternative to choose, leaving usage context to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/kennyrnwilson/book-library-mcp'
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