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ttpears

BookStack MCP Server

by ttpears

Get Book Details

get_book

Retrieve detailed information about a specific book from BookStack knowledge management systems by providing its unique ID.

Instructions

Get detailed information about a specific book

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesBook ID

Implementation Reference

  • Registration and handler implementation for the get_book MCP tool.
    server.registerTool(
      "get_book",
      {
        title: "Get Book Details",
        description: "Get detailed information about a specific book",
        inputSchema: {
          id: z.coerce.number().min(1).describe("Book ID")
        }
      },
      async (args) => {
        const book = await client.getBook(args.id);
        return {
          content: [{ type: "text", text: JSON.stringify(book, null, 2) }]
        };
      }
  • Implementation of the underlying getBook logic in the BookStack client class.
    async getBook(id: number): Promise<any> {
      const response = await this.client.get(`/books/${id}`);
      return this.enhanceBookResponse(response.data);
    }
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states 'Get detailed information' but doesn't disclose behavioral traits like whether this is a read-only operation, if it requires authentication, what format the information returns in, or any rate limits. This leaves significant gaps for an agent.

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, efficient sentence with zero waste. It's appropriately sized for a simple lookup tool and front-loads the core purpose without unnecessary elaboration.

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 no annotations and no output schema, the description is incomplete. It doesn't explain what 'detailed information' includes, how errors are handled, or any behavioral context. For a tool with siblings and potential complexity, this minimal description leaves too much undefined.

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 description coverage is 100%, so the schema fully documents the single 'id' parameter. The description adds no additional meaning beyond implying it's for a 'specific book', which the schema already covers with its 'Book ID' description. Baseline 3 is appropriate as the schema does the heavy lifting.

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 verb 'Get' and resource 'detailed information about a specific book', which is specific and actionable. However, it doesn't distinguish this tool from similar siblings like 'get_books' (plural) or 'get_chapter', leaving some ambiguity about scope.

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_books', 'get_chapters', and 'search_content', there's no indication whether this is for single-book lookup, what context warrants its use, or any prerequisites.

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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