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.

SERVERGoCreative Agent API SOURCEhttps://api.gocreativeai.com/mcp

Low RISK CLASS

Category Read

Parameters 11 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-colinhughes2121-gocreative-agent-api/scrape-goodreads.md

WHAT IT DOES

What scrape_goodreads does on GoCreative Agent API

AI agents call scrape_goodreads to retrieve information from GoCreative Agent API without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`book_or_query`	string	Yes

Parameters from the server's own tool schema.

RISK

Why scrape_goodreads is rated Low

This tool performs data retrieval/querying of publicly available Goodreads information (ratings, reviews, author details). It is categorized as Read because it only fetches and returns data without creating, modifying, or deleting anything.

From the tool's definition Tool name is 'scrape_goodreads' and description states it will 'Scrape Goodreads books (rating, reviews, author)' — this retrieves public book data with no modification or side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs scrape_goodreads safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GoCreative Agent API, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scrape_goodreads, this is the rule to start with:

scrape_goodreads Allowed

scrape_goodreads is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "scrape_goodreads": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GoCreative Agent API, apply this rule, and every scrape_goodreads call is checked against it from then on.

FAQ

Questions about scrape_goodreads

What does the scrape_goodreads tool do? +

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. It is categorised as a Read tool in the GoCreative Agent API MCP Server, which means it retrieves data without modifying state.

What parameters does scrape_goodreads accept? +

scrape_goodreads accepts 1 parameter: book_or_query. Required: book_or_query. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on scrape_goodreads? +

Register the GoCreative Agent API MCP server in PolicyLayer and add a rule for scrape_goodreads: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GoCreative Agent API. Nothing to install.

What risk level is scrape_goodreads? +

scrape_goodreads is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit scrape_goodreads? +

Yes. Add a rate_limit block to the scrape_goodreads rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block scrape_goodreads completely? +

Set action: deny in the PolicyLayer policy for scrape_goodreads. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides scrape_goodreads? +

scrape_goodreads is provided by the GoCreative Agent API MCP server (https://api.gocreativeai.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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