AI agents call get_workout to retrieve information from Hevy without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries workout data without creating, modifying, deleting, or executing any operations. It is a straightforward read-only operation consistent with fitness app data access. The severity is low as retrieving workout details poses minimal risk even if misused by an AI agent.
From the tool's definition Tool name 'get_workout' and description 'Get full details of a specific workout by ID' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Get full details of a specific workout by ID. It is categorised as a Read tool in the Hevy MCP Server, which means it retrieves data without modifying state.
Register the Hevy MCP server in PolicyLayer and add a rule for get_workout: 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 Hevy. Nothing to install.
get_workout is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_workout 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 get_workout. 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.
get_workout is provided by the Hevy MCP server (srdjancodes/hevy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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