pandascore_get_teams
List esports teams. Filter by videogame title and search by name (e.g., T1, Cloud9, Fnatic).
This record as markdown: /tools/io-github-lacausecrypto-sports-hub/pandascore-get-teams.md
What pandascore_get_teams does on Sports Hub
AI agents call pandascore_get_teams to retrieve information from Sports Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why pandascore_get_teams is rated Low
This tool retrieves and lists esports team data with optional filtering and search capabilities. It performs no modifications, deletions, or external operations—it only returns information about teams. The blast radius of misuse is minimal (e.g., returning large datasets or spam queries), making it a Read risk at low severity.
From the tool's definition Tool name 'pandascore_get_teams' and description 'List esports teams. Filter by videogame title and search by name' indicate a query/retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs pandascore_get_teams safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Sports Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pandascore_get_teams, this is the rule to start with:
pandascore_get_teams 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 Sports Hub, apply this rule, and every pandascore_get_teams call is checked against it from then on.
Questions about pandascore_get_teams
List esports teams. Filter by videogame title and search by name (e.g., T1, Cloud9, Fnatic). It is categorised as a Read tool in the Sports Hub MCP Server, which means it retrieves data without modifying state.
Register the Sports Hub MCP server in PolicyLayer and add a rule for pandascore_get_teams: 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 Sports Hub. Nothing to install.
pandascore_get_teams 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 pandascore_get_teams 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 pandascore_get_teams. 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.
pandascore_get_teams is provided by the Sports Hub MCP server (mcp-sports-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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