Medium Risk

create_spraychart_plot

Produces a spraychart using statcast data overlayed on specified stadium Args: data: (pandas.DataFrame) StatCast pandas.DataFrame of StatCast batter data team_stadium: (str) Team whose stadium the hits will be overlaid on title: (str), default = '' Optional: Title of plot size: (int), default = 1...

Part of the MLB Stats Server server.

create_spraychart_plot can modify MLB Stats Server data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use create_spraychart_plot to create or modify resources in MLB Stats Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call create_spraychart_plot repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach MLB Stats Server.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_spraychart_plot": {
      "limits": [
        {
          "counter": "create_spraychart_plot_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access create_spraychart_plot gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so create_spraychart_plot only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the create_spraychart_plot tool do? +

Produces a spraychart using statcast data overlayed on specified stadium Args: data: (pandas.DataFrame) StatCast pandas.DataFrame of StatCast batter data team_stadium: (str) Team whose stadium the hits will be overlaid on title: (str), default = '' Optional: Title of plot size: (int), default = 100 Optional: Size of hit circles on plot colorby: (str), default = 'events' Optional: Which category to color the mark with. 'events','player', or a column within data legend_title: (str), default = based on colorby Optional: Title for the legend width: (int), default = 500 Optional: Width of plot (not counting the legend) height: (int), default = 500 Optional: Height of plot. It is categorised as a Write tool in the MLB Stats Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_spraychart_plot? +

Register the MLB Stats Server MCP server in PolicyLayer and add a rule for create_spraychart_plot: 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 MLB Stats Server. Nothing to install.

What risk level is create_spraychart_plot? +

create_spraychart_plot is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_spraychart_plot? +

Yes. Add a rate_limit block to the create_spraychart_plot 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.

How do I block create_spraychart_plot completely? +

Set action: deny in the PolicyLayer policy for create_spraychart_plot. 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.

What MCP server provides create_spraychart_plot? +

create_spraychart_plot is provided by the MLB Stats Server MCP server (etweisberg/mlb-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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