pandascore_get_player
Get detailed information about a specific esports player, including current team, role, stats, and image.
This record as markdown: /tools/io-github-lacausecrypto-sports-hub/pandascore-get-player.md
What pandascore_get_player does on Sports Hub
AI agents call pandascore_get_player 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_player is rated Low
This tool queries and returns player information from a sports database. It performs a read-only operation with no side effects, no ability to modify or delete data, and no execution of external commands or financial transactions. The blast radius of misuse is minimal—an agent could only retrieve publicly available sports data. This is a straightforward Read category tool.
From the tool's definition Tool retrieves detailed information about a specific esports player including current team, role, stats, and image. The verb 'Get' and description indicate data retrieval with no modification, deletion, or execution of operations.
Attacks that exploit this kind of access
The rule that runs pandascore_get_player 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_player, this is the rule to start with:
pandascore_get_player 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_player call is checked against it from then on.
Questions about pandascore_get_player
Get detailed information about a specific esports player, including current team, role, stats, and image. 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_player: 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_player 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_player 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_player. 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_player 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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