AI agents use log_time to create or update resources in Scrumdo — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Scrumdo environment.
Based on the tool name 'log_time', this likely creates or updates a time-tracking entry on a ScrumDo card (a reversible write operation). This is consistent with project management tools that allow logging work hours against tasks. However, the empty description significantly lowers confidence. Severity is medium because misuse could corrupt time-tracking records, but it is reversible.
From the tool's definition Tool name 'log_time' — description is empty and uninformative.
Attacks that exploit this kind of access
log_time. It is categorised as a Write tool in the Scrumdo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Scrumdo MCP server in PolicyLayer and add a rule for log_time: 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 Scrumdo. Nothing to install.
log_time 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 log_time 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 log_time. 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.
log_time is provided by the Scrumdo MCP server (scrumdollc/scrumdo-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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