rottentomatoes_browse_movies
Rotten Tomatoes movie discovery rows. Returns normalized movie rows from Rotten Tomatoes public browse pages using credential-free JSON-LD ItemList data. Supported list values are movies_in_theaters, movies_at_home, and movies_coming_soon. Supported sort values are popular, newest, and top_box_of...
This record as markdown: /tools/crawlora-mcp/rottentomatoes-browse-movies.md
What rottentomatoes_browse_movies does on Crawlora
AI agents call rottentomatoes_browse_movies 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 |
|---|---|---|---|
list | string | — | Movie browse list: movies_in_theaters, movies_at_home, movies_coming_soon |
sort | string | — | Sort: popular, newest, top_box_office |
limit | integer | — | Rows to return, default 10, max 20 |
Parameters from the server's own tool schema.
Why rottentomatoes_browse_movies is rated Low
This tool retrieves and queries publicly available movie data from Rotten Tomatoes without any side effects. It supports browsing different movie lists and sorting options but does not modify, execute commands, or interact with any systems beyond simple data retrieval. The blast radius of misuse is minimal as it only exposes already-public information.
From the tool's definition Tool description states it 'Returns normalized movie rows' and 'using credential-free JSON-LD ItemList data' from public browse pages. The operation is purely retrieval with no modification, creation, deletion, or execution capabilities.
Attacks that exploit this kind of access
The rule that runs rottentomatoes_browse_movies 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 rottentomatoes_browse_movies, this is the rule to start with:
rottentomatoes_browse_movies 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 rottentomatoes_browse_movies call is checked against it from then on.
Questions about rottentomatoes_browse_movies
Rotten Tomatoes movie discovery rows. Returns normalized movie rows from Rotten Tomatoes public browse pages using credential-free JSON-LD ItemList data. Supported list values are movies_in_theaters, movies_at_home, and movies_coming_soon. Supported sort values are popular, newest, and top_box_office; top_box_office is only valid with movies_in_theaters. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
rottentomatoes_browse_movies accepts 3 parameters: list, sort, limit. 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 rottentomatoes_browse_movies: 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.
rottentomatoes_browse_movies 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 rottentomatoes_browse_movies 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 rottentomatoes_browse_movies. 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.
rottentomatoes_browse_movies 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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