goodreads_book_reviews
Get a Goodreads book's featured reviews. Returns a book's featured reviews (reviewer, rating, text, date, like/comment counts, spoiler flag), sorted by like count. Credential-free public Goodreads data.
This record as markdown: /tools/crawlora-mcp/goodreads-book-reviews.md
What goodreads_book_reviews does on Crawlora
AI agents call goodreads_book_reviews to retrieve information from Crawlora 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 |
|---|---|---|---|
id | string | Yes | Goodreads book id |
limit | integer | — | Max reviews, default 10, max 50 |
Parameters from the server's own tool schema.
Why goodreads_book_reviews is rated Low
Even though goodreads_book_reviews only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs goodreads_book_reviews safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crawlora, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For goodreads_book_reviews, this is the rule to start with:
goodreads_book_reviews is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Crawlora, apply this rule, and every goodreads_book_reviews call is checked against it from then on.
Questions about goodreads_book_reviews
Get a Goodreads book's featured reviews. Returns a book's featured reviews (reviewer, rating, text, date, like/comment counts, spoiler flag), sorted by like count. Credential-free public Goodreads data. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
goodreads_book_reviews accepts 2 parameters: id, limit. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the Crawlora MCP server in PolicyLayer and add a rule for goodreads_book_reviews: 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 Crawlora. Nothing to install.
goodreads_book_reviews is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the goodreads_book_reviews 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.
Set action: deny in the PolicyLayer policy for goodreads_book_reviews. 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.
goodreads_book_reviews is provided by the Crawlora MCP server (crawlora-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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