AI agents use add_plan_run to create or update resources in MCPacer — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCPacer environment.
The 'add_' prefix typically indicates creation or insertion of data. Combined with the server's purpose as a coaching tool that manages training plans, this tool likely creates or modifies run entries in a personalized training plan. This is reversible (Write category).
From the tool's definition Tool name 'add_plan_run' indicates adding/creating a run to a training plan. No description provided, but context from sibling tools (add_coaching_feedback, add_plan_comment, add_run_note) suggests data creation/modification capabilities within the Strava…
Documented attack patterns abuse exactly the kind of access add_plan_run gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCPacer, and nothing reaches the server without passing your rules. This is the rule we recommend for add_plan_run:
{
"version": "1",
"default": "deny",
"tools": {
"add_plan_run": {
"limits": [
{
"counter": "add_plan_run_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}add_plan_run stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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add_plan_run. It is categorised as a Write tool in the MCPacer MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCPacer MCP server in PolicyLayer and add a rule for add_plan_run: 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 MCPacer. Nothing to install.
add_plan_run 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 add_plan_run 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 add_plan_run. 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.
add_plan_run is provided by the MCPacer MCP server (wernerpe/mcpacer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCPacer, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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32 MCPacer tools catalogued and risk-classified — across an index of 43,000+ MCP servers.