AI agents call find_season to retrieve information from Rgl without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries season data from an external API without creating, modifying, deleting, or executing operations. It matches the Read category pattern of lookup/search operations with no side effects.
From the tool's definition Tool name 'find_season' and server description indicate querying/resolving season information from RGL.gg TF2 competitive data. The verb 'find' combined with 'Resolve a free-form season name' shows retrieval without modification.
Attacks that exploit this kind of access
Resolve a free-form season name like. It is categorised as a Read tool in the Rgl MCP Server, which means it retrieves data without modifying state.
Register the Rgl MCP server in PolicyLayer and add a rule for find_season: 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 Rgl. Nothing to install.
find_season 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 find_season 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 find_season. 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.
find_season is provided by the Rgl MCP server (rglgg/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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