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reading-companion

reading-companion

by aby0
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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build_bookstack

Build a domain-specific reading stack by generating a syllabus builder prompt with user context, then persist recommendations using save_bookstack.

Instructions

Build a curated reading stack for a specific domain.

Args: domain: The domain ID to build a stack for (e.g., "classic_lit").

Returns the syllabus builder prompt with user context. After generating recommendations, call save_bookstack to persist them.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "domain": "<domain>"
    },
    "name": "build_bookstack"
  }
}

Input Schema

NameRequiredDescriptionDefault
domainYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Discloses that the tool returns a prompt and does not persist (by directing to 'save_bookstack'). With no annotations provided, the description carries the full burden. It does not mention error handling or side effects, but the behavior is clear enough for a generation tool.

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?

Four sentences, no filler. Uses clear Args format. Every sentence adds value: purpose, parameter, return value, and follow-up action. Highly efficient.

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?

Covers purpose, parameter, return value, and post-action. For a simple one-parameter tool with no output schema or annotations, this is sufficiently complete. Could mention error handling or domain validation, but not necessary for basic usage.

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

Parameters4/5

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

Adds meaning to the 'domain' parameter with an example ('e.g., "classic_lit"') and indicates it is an ID. Schema coverage is 0%, so the description compensates well. No other parameters to document.

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?

Describes specific verb 'build' and resource 'curated reading stack', clearly indicating it creates a reading stack for a domain. Distinguishes from siblings like 'add_book_to_stack' and 'save_bookstack' by mentioning return of a prompt and suggesting subsequent save action.

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?

Provides workflow guidance by instructing to call 'save_bookstack' after generating recommendations. However, it lacks explicit when-to-use or when-not-to-use guidelines, and does not compare to other tools like 'get_bookstacks' or 'add_book_to_stack'.

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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