ncaab_get_plays
Get NCAAB play-by-play data for a specific game
This record as markdown: /tools/io-balldontlie-mcp/ncaab-get-plays.md
What ncaab_get_plays does on Mcp
AI agents call ncaab_get_plays to retrieve information from Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why ncaab_get_plays is rated Low
The tool's function is to retrieve and query existing sports analytics data (NCAAB play-by-play records). No side effects, mutations, deletions, or external operations are indicated. This is purely informational data retrieval, making it a Read category tool with low severity—misuse would only expose sports data already public through the API.
From the tool's definition Tool retrieves 'play-by-play data for a specific game' with no modification or deletion capability mentioned. This is a query/fetch operation returning historical sports statistics.
Attacks that exploit this kind of access
The rule that runs ncaab_get_plays safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ncaab_get_plays, this is the rule to start with:
ncaab_get_plays 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 Mcp, apply this rule, and every ncaab_get_plays call is checked against it from then on.
Questions about ncaab_get_plays
Get NCAAB play-by-play data for a specific game. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
Register the MCP server in PolicyLayer and add a rule for ncaab_get_plays: 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 Mcp. Nothing to install.
ncaab_get_plays 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 ncaab_get_plays 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 ncaab_get_plays. 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.
ncaab_get_plays is provided by the MCP server (https://mcp.balldontlie.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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