pandascore_get_match
Get detailed information about a specific esports match, including teams, scores, games, streams, and results.
This record as markdown: /tools/io-github-lacausecrypto-sports-hub/pandascore-get-match.md
What pandascore_get_match does on Sports Hub
AI agents call pandascore_get_match 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_match is rated Low
This tool retrieves and queries esports match data (teams, scores, games, streams, results) with no side effects. It performs a read-only operation on publicly available sports information. No data is created, modified, deleted, or executed. This is a straightforward data retrieval endpoint typical of sports APIs.
From the tool's definition Tool name 'pandascore_get_match' and description 'Get detailed information about a specific esports match, including teams, scores, games, streams, and results' indicate data retrieval only.
Attacks that exploit this kind of access
The rule that runs pandascore_get_match 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_match, this is the rule to start with:
pandascore_get_match 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_match call is checked against it from then on.
Questions about pandascore_get_match
Get detailed information about a specific esports match, including teams, scores, games, streams, and results. 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_match: 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_match 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_match 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_match. 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_match 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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