set_favorite
A write tool on the 1point3acres Toolkit MCP server.
This record as markdown: /tools/1point3acres-toolkit/set-favorite.md
What set_favorite does on 1point3acres Toolkit
AI agents use set_favorite to create or update resources in 1point3acres Toolkit, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 1point3acres Toolkit environment.
Why set_favorite is rated Medium
Tool modifies user data (favorites) reversibly without destructive or financial impact.
From the tool's definition uninformative description; set_favorite likely modifies user preferences
Attacks that exploit this kind of access
The rule that runs set_favorite safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 1point3acres Toolkit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_favorite, this is the rule to start with:
set_favorite 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 1point3acres Toolkit, apply this rule, and every set_favorite call is checked against it from then on.
Questions about set_favorite
set_favorite is a write tool on the 1point3acres Toolkit MCP server. It is categorised as a Write tool in the 1point3acres Toolkit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the 1point3acres Toolkit MCP server in PolicyLayer and add a rule for set_favorite: 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 1point3acres Toolkit. Nothing to install.
set_favorite 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 set_favorite 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 set_favorite. 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.
set_favorite is provided by the 1point3acres Toolkit MCP server (vivian-labs/1point3acres-toolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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