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scrape_goodreads

Scrape Goodreads books (rating, reviews, author). Use for book-research agents.

Example call: {"book_or_query": "the-pragmatic-programmer"}

Cost: $0.005–$0.05 USDC on Base per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
book_or_queryYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions scraping and includes cost, but does not explain rate limits, error handling, authentication needs, or the structure of the output (beyond listing 'rating, reviews, author'). For a scraping tool, more detail on behavior is expected.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and to the point, with two sentences plus an example and cost line. It front-loads the main purpose. The cost line is additional but not essential; overall, it is efficiently structured without unnecessary verbosity.

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 the lack of output schema and 0% schema coverage on the parameter, the description is incomplete. It fails to describe the return format, how the tool handles errors (e.g., if the book is not found), or whether it supports pagination. The mention of fields (rating, reviews, author) provides partial guidance but insufficient for an agent to fully rely on the tool.

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?

The input schema has 0% coverage (no description for the parameter). The description provides an example call ('{"book_or_query": "the-pragmatic-programmer"}') but does not explain the valid formats for the parameter (e.g., ISBN, Goodreads URL, search query). The cost info adds no semantic value for the parameter.

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 states it scrapes Goodreads books (rating, reviews, author) and is for book-research agents. It implicitly distinguishes from other scrape tools by specifying the source, but could be clearer about whether it handles single books or search queries. The example uses a specific book slug, which helps clarify the intended input.

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 description says 'Use for book-research agents,' providing clear context for when to use this tool. However, it does not mention when not to use it or suggest alternative tools (e.g., lookup_open_library for metadata, different book sources). No exclusions are given.

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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