MLB games for a date (and optionally one team), via the official MLB Stats API (free/keyless). Each game: gamePk, start time, detailed status (Scheduled/In Progress/Final), away and home team + score, and venue. Defaults to today when no date is given. Live scores + schedule for agents.
AI agents call sports.mlb-schedule to retrieve information from Mcp without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves sports schedule and score data from the MLB Stats API. It is purely a read/query operation with no side effects — it fetches game information and returns it. No data is created, modified, or deleted. Severity is low as the worst-case misuse is retrieving sports data.
From the tool's definition MLB games for a date...Each game: gamePk, start time, detailed status...away and home team + score, and venue. Defaults to today when no date is given. Live scores + schedule for agents.
Attacks that exploit this kind of access
MLB games for a date (and optionally one team), via the official MLB Stats API (free/keyless). Each game: gamePk, start time, detailed status (Scheduled/In Progress/Final), away and home team + score, and venue. Defaults to today when no date is given. Live scores + schedule for agents. 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 sports.mlb-schedule: 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.
sports.mlb-schedule 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 sports.mlb-schedule 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 sports.mlb-schedule. 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.
sports.mlb-schedule is provided by the MCP server (@2sio/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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