Toggle a task between pending [ ] and completed [x]
AI agents use task_toggle to create or update resources in Mcp Obsidian Planner — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Obsidian Planner environment.
This tool modifies the state of a task (marking it complete or incomplete), which is a reversible write operation. It does not delete data, execute code, or involve financial transactions. The blast radius is low since it only changes a single task's completion status.
From the tool's definition Toggle a task between pending [ ] and completed [x]
Attacks that exploit this kind of access
Toggle a task between pending [ ] and completed [x]. It is categorised as a Write tool in the Mcp Obsidian Planner MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Obsidian Planner MCP server in PolicyLayer and add a rule for task_toggle: 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 Obsidian Planner. Nothing to install.
task_toggle 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 task_toggle 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 task_toggle. 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.
task_toggle is provided by the Mcp Obsidian Planner MCP server (jarero321/mcp-obsidian-planner). 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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