steam_community_recommendations
Get the store's community-recommended reviews feed. Returns a batch of recent, quality user reviews recommended across the whole store (author, playtime, helpful votes, and the recommended app). Filter by review kind/sort, reviewer playtime window, review language, and store region. The upstream ...
This record as markdown: /tools/crawlora-mcp/steam-community-recommendations.md
What steam_community_recommendations does on Crawlora
AI agents call steam_community_recommendations 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 |
|---|---|---|---|
l | string | — | Language code |
cc | string | — | Store country code (ISO, selects currency) |
playtime_max | integer | — | Maximum reviewer playtime in hours (0 = no maximum) |
playtime_min | integer | — | Minimum reviewer playtime in hours (0 = no minimum) |
review_filter | string | — | Review kind / sort |
review_language | string | — | Review language: 'my_languages' or a Steam language name |
Parameters from the server's own tool schema.
Why steam_community_recommendations is rated Low
Even though steam_community_recommendations 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 steam_community_recommendations 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 steam_community_recommendations, this is the rule to start with:
steam_community_recommendations 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 steam_community_recommendations call is checked against it from then on.
Questions about steam_community_recommendations
Get the store's community-recommended reviews feed. Returns a batch of recent, quality user reviews recommended across the whole store (author, playtime, helpful votes, and the recommended app). Filter by review kind/sort, reviewer playtime window, review language, and store region. The upstream serves a fixed batch and, unauthenticated, does not support tag filtering or deep pagination. Credential-free public Steam storefront JSON. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
steam_community_recommendations accepts 6 parameters: l, cc, playtime_max, playtime_min, review_filter, review_language. 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 steam_community_recommendations: 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.
steam_community_recommendations 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 steam_community_recommendations 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 steam_community_recommendations. 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.
steam_community_recommendations 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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