Produces a pitches overlaid on a strike zone using StatCast data Args: data: (pandas.DataFrame) StatCast pandas.DataFrame of StatCast pitcher data title: (str), default = '' Optional: Title of plot colorby: (str), default = 'pitch_type' ...
Part of the MLB Stats Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use create_strike_zone_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_strike_zone_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.
tools:
create_strike_zone_plot:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full MLB Stats Server policy for all 46 tools.
Agents calling write-class tools like create_strike_zone_plot have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Produces a pitches overlaid on a strike zone using StatCast data Args: data: (pandas.DataFrame) StatCast pandas.DataFrame of StatCast pitcher data title: (str), default = '' Optional: Title of plot colorby: (str), default = 'pitch_type' Optional: Which category to color the mark with. 'pitch_type', 'pitcher', 'description' or a column within data legend_title: (str), default = based on colorby Optional: Title for the legend annotation: (str), default = 'pitch_type' Optional: What to annotate in the marker. 'pitch_type', 'release_speed', 'effective_speed', 'launch_speed', or something else in the data . 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.
Add a rule in your Intercept YAML policy under the tools section for create_strike_zone_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.
create_strike_zone_plot is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_strike_zone_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.
Set action: deny in the Intercept policy for create_strike_zone_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.
create_strike_zone_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.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept