AI agents call steam_store to retrieve information from Steam-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the server's stated capability to enable 'querying store listings' and the tool name 'steam_store,' this tool most likely retrieves or queries Steam store data (game information, prices, reviews, etc.) without making modifications. No evidence suggests it creates, modifies, executes code, deletes data, or moves money.
From the tool's definition Tool name 'steam_store' with context from server description indicating the server 'provides querying game libraries, player profiles, achievements, friends, store listings, Workshop items, and current player counts.' The tool fits the pattern of reading…
Attacks that exploit this kind of access
steam_store. It is categorised as a Read tool in the Steam-MCP MCP Server, which means it retrieves data without modifying state.
Register the Steam- MCP server in PolicyLayer and add a rule for steam_store: 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-MCP. Nothing to install.
steam_store 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_store 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_store. 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_store is provided by the Steam- MCP server (sandraschi/steam-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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