add_set
AI agents use add_set to create or update resources in MCP Logger — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Logger environment.
The 'add_set' tool creates new workout set records in the fitness tracker, modifying the database state reversibly. This is a Write operation—data can be updated or corrected later. It lacks the irreversibility of Destructive tools and the runtime code execution risks of Execute tools.
From the tool's definition Tool name 'add_set' in a fitness tracking context suggests adding a new workout set record. Sibling tools include 'add_exercise' and 'add_or_update_meal_item', establishing a pattern of Write operations.
Attacks that exploit this kind of access
add_set. It is categorised as a Write tool in the MCP Logger MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Logger MCP server in PolicyLayer and add a rule for add_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 MCP Logger. Nothing to install.
add_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 add_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 add_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.
add_set is provided by the MCP Logger MCP server (johnzolton/mcp-logger). 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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