rotten-tomatoes.movie_reviews
Load reviews for a movie by slug (for example shawshank-redemption). Returns review quotes, sentiment, publication, critic details, and pageInfo for pagination. Use cursor from pageInfo.endCursor for the next page. Optionally set type to critic for critic reviews only. Cost = 5 tokens.
This record as markdown: /tools/io-github-vee3io-vee3/rotten-tomatoes.movie-reviews.md
What rotten-tomatoes.movie_reviews does on Vee3
AI agents call rotten-tomatoes.movie_reviews to retrieve information from Vee3 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 |
|---|---|---|---|
limit | object | — | Maximum number of review pages to return (1–50, default 20). |
cursor | object | — | Pagination cursor from a previous response pageInfo.endCursor field. |
movie_slug | string | Yes | Movie slug (for example shawshank-redemption). |
review_type | object | — | Review filter. Use critic for critic reviews; omit for the default set. |
Parameters from the server's own tool schema.
Why rotten-tomatoes.movie_reviews is rated Low
This tool only retrieves/reads movie review data from Rotten Tomatoes. It has no side effects, does not modify any data, and simply returns review information. Misuse potential is minimal.
From the tool's definition Load reviews for a movie by slug... Returns review quotes, sentiment, publication, critic details, and pageInfo for pagination.
Attacks that exploit this kind of access
The rule that runs rotten-tomatoes.movie_reviews safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Vee3, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rotten-tomatoes.movie_reviews, this is the rule to start with:
rotten-tomatoes.movie_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 Vee3, apply this rule, and every rotten-tomatoes.movie_reviews call is checked against it from then on.
Questions about rotten-tomatoes.movie_reviews
Load reviews for a movie by slug (for example shawshank-redemption). Returns review quotes, sentiment, publication, critic details, and pageInfo for pagination. Use cursor from pageInfo.endCursor for the next page. Optionally set type to critic for critic reviews only. Cost = 5 tokens. It is categorised as a Read tool in the Vee3 MCP Server, which means it retrieves data without modifying state.
rotten-tomatoes.movie_reviews accepts 4 parameters: limit, cursor, movie_slug, review_type. Required: movie_slug. The full parameter table on this page comes from the server's own tool schema.
Register the Vee3 MCP server in PolicyLayer and add a rule for rotten-tomatoes.movie_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 Vee3. Nothing to install.
rotten-tomatoes.movie_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 rotten-tomatoes.movie_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 rotten-tomatoes.movie_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.
rotten-tomatoes.movie_reviews is provided by the Vee3 MCP server (https://mcp.vee3.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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