This record as markdown: /tools/app-businys-mcp-server/update-workout-set.md
What update_workout_set does on Businys
AI agents use update_workout_set 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.
Why update_workout_set is rated Medium
This tool modifies workout data (a set within a workout) but does not delete or irreversibly destroy data. The change is reversible through subsequent updates. While it affects user-facing fitness tracking data, the blast radius is limited to individual workout records.
From the tool's definition Tool name 'update_workout_set' and description 'Update an existing set on a workout' indicate modification of existing data.
Attacks that exploit this kind of access
The rule that runs update_workout_set 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 update_workout_set, this is the rule to start with:
update_workout_set 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Businys, apply this rule, and every update_workout_set call is checked against it from then on.
Questions about update_workout_set
Update an existing set on a workout. 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.
Register the Businys MCP server in PolicyLayer and add a rule for update_workout_set: 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.
update_workout_set 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 update_workout_set 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 update_workout_set. 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.
update_workout_set 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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