steam_featured
Get the Steam store featured capsules. Returns the storefront's featured capsules for a region (per-platform featured lists plus large spotlight capsules), including discount and price fields. Credential-free public Steam storefront JSON.
This record as markdown: /tools/crawlora-mcp/steam-featured.md
What steam_featured does on Crawlora
AI agents call steam_featured 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) |
Parameters from the server's own tool schema.
Why steam_featured is rated Low
This tool queries and returns read-only public data from Steam's storefront (featured games, discount information, pricing). There are no side effects, no data modification, no code execution, and no financial transactions involved. It is a straightforward data retrieval operation on public information, making it a low-severity Read category tool.
From the tool's definition Tool description states: 'Get the Steam store featured capsules' and 'Credential-free public Steam storefront JSON.' This retrieves publicly available storefront data with no ability to modify, delete, or execute operations.
Attacks that exploit this kind of access
The rule that runs steam_featured 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_featured, this is the rule to start with:
steam_featured 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_featured call is checked against it from then on.
Questions about steam_featured
Get the Steam store featured capsules. Returns the storefront's featured capsules for a region (per-platform featured lists plus large spotlight capsules), including discount and price fields. 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_featured accepts 2 parameters: l, cc. 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_featured: 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_featured 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_featured 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_featured. 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_featured 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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