ai_generate_program

AI-powered program generation. Describe client goals, fitness level, available equipment, and session frequency \u2014 returns a structured training program with exercises, sets, and reps.

SERVERBusinys SOURCE@businys/mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/app-businys-mcp-server/ai-generate-program.md

WHAT IT DOES

What ai_generate_program does on Businys

AI agents use ai_generate_program to create or update resources in Businys, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Businys environment.

RISK

Why ai_generate_program is rated Medium

This tool generates and returns a training program based on user inputs. While the output is AI-generated content, it results in the creation of a new structured data object (a fitness program) that can be stored, updated, or referenced later in the system. This is a reversible create operation typical of Write-category tools.

From the tool's definition Tool description states it 'returns a structured training program with exercises, sets, and reps'—this creates new data (a training program) that is stored and modifiable, fitting the Write category of creating/modifying data reversibly.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ai_generate_program safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Businys, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ai_generate_program, this is the rule to start with:

ai_generate_program Rate-limited

ai_generate_program 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_generate_program": {
      "limits": [
        {
          "counter": "ai_generate_program_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Businys, apply this rule, and every ai_generate_program call is checked against it from then on.

FAQ

Questions about ai_generate_program

What does the ai_generate_program tool do? +

AI-powered program generation. Describe client goals, fitness level, available equipment, and session frequency \u2014 returns a structured training program with exercises, sets, and reps. It is categorised as a Write tool in the Businys MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ai_generate_program? +

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

What risk level is ai_generate_program? +

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

Can I rate-limit ai_generate_program? +

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

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

ai_generate_program is provided by the Businys MCP server (@businys/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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