Medium Risk

create_teams_plot

Plots a scatter plot with each MLB team Args: data: (pandas.DataFrame) pandas.DataFrame of Fangraphs team data (retrieved through team_batting or team_pitching) x_axis: (str) Stat name to be plotted as the x_axis of the chart y_...

Part of the MLB Stats Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

etweisberg/mlb-mcp Write Risk 2/5

AI agents use create_teams_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_teams_plot repeatedly, creating or modifying resources faster than any human could review. Intercept'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.

etweisberg-mlb-mcp.yaml
tools:
  create_teams_plot:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full MLB Stats Server policy for all 46 tools.

Tool Name create_teams_plot
Category Write
Risk Level Medium

View all 46 tools →

Agents calling write-class tools like create_teams_plot have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the create_teams_plot tool do? +

Plots a scatter plot with each MLB team Args: data: (pandas.DataFrame) pandas.DataFrame of Fangraphs team data (retrieved through team_batting or team_pitching) x_axis: (str) Stat name to be plotted as the x_axis of the chart y_axis: (str) Stat name to be plotted as the y_axis of the chart title: (str), default = None Optional: Title of the 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_teams_plot? +

Add a rule in your Intercept YAML policy under the tools section for create_teams_plot. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the MLB Stats Server MCP server.

What risk level is create_teams_plot? +

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

Can I rate-limit create_teams_plot? +

Yes. Add a rate_limit block to the create_teams_plot rule in your Intercept 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_teams_plot completely? +

Set action: deny in the Intercept policy for create_teams_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_teams_plot? +

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

Enforce policies on MLB Stats Server

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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