Fetch actual user reviews for a Steam game with advanced filtering and pagination support. Returns review text, author info, timestamps, and voting data. Supports time-bounded queries and review bomb filtering.
AI agents call fetch_reviews to retrieve information from Steam Reviews MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
fetch_reviews retrieves and queries existing Steam review data with filtering and pagination. It has no side effects, cannot modify or delete data, and does not execute code or trigger external operations beyond data retrieval. This is a classic Read operation. The filtering and pagination support do not elevate the risk category—they remain query parameters.
From the tool's definition Tool description states it 'Fetch[es] actual user reviews' and 'Returns review text, author info, timestamps, and voting data.' These are read-only retrieval operations with no capability to modify, delete, or execute arbitrary actions.
Attacks that exploit this kind of access
Fetch actual user reviews for a Steam game with advanced filtering and pagination support. Returns review text, author info, timestamps, and voting data. Supports time-bounded queries and review bomb filtering. It is categorised as a Read tool in the Steam Reviews MCP MCP Server, which means it retrieves data without modifying state.
Register the Steam Reviews MCP server in PolicyLayer and add a rule for fetch_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 Steam Reviews MCP. Nothing to install.
fetch_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 fetch_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 fetch_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.
fetch_reviews is provided by the Steam Reviews MCP server (jhomen368/steam-reviews-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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