Medium Risk

novice_lp_generator

Generate a structured 4-week novice linear progression program for a new or early-intermediate barbell trainee. Based on the Starting Strength model: squat every session, alternating press/bench, deadlift progressing to power cleans. Takes lifter profile (sex, bodyweight, age, training days) and ...

Risk signalsBulk/mass operation — affects multiple targets

Part of the CoachSync server.

novice_lp_generator can modify CoachSync 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 novice_lp_generator to create or modify resources in CoachSync. 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 novice_lp_generator 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 CoachSync.

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

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

See the full CoachSync policy for all 3 tools.

Get this rule live on your own CoachSync server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access novice_lp_generator 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 novice_lp_generator 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 novice_lp_generator tool do? +

Generate a structured 4-week novice linear progression program for a new or early-intermediate barbell trainee. Based on the Starting Strength model: squat every session, alternating press/bench, deadlift progressing to power cleans. Takes lifter profile (sex, bodyweight, age, training days) and optional starting weights. Returns a week-by-week program with progression scheme and coaching notes. Powered by CoachSync.io.. It is categorised as a Write tool in the CoachSync MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on novice_lp_generator? +

Register the CoachSync MCP server in PolicyLayer and add a rule for novice_lp_generator: 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 CoachSync. Nothing to install.

What risk level is novice_lp_generator? +

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

Can I rate-limit novice_lp_generator? +

Yes. Add a rate_limit block to the novice_lp_generator 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 novice_lp_generator completely? +

Set action: deny in the PolicyLayer policy for novice_lp_generator. 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 novice_lp_generator? +

novice_lp_generator is provided by the CoachSync MCP server (https://mcp.coachsync.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every CoachSync tool call.

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