list_projects
AI agents call list_projects to retrieve information from Clockify Time Tracking without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name clearly denotes a list/retrieval action. Although the description is empty (lowering confidence slightly), the function name alone strongly indicates this is a Read operation that fetches project information from Clockify without modifying, executing, or destructing any data.
From the tool's definition Tool name 'list_projects' indicates a retrieval operation that queries and returns project data with no side effects.
Attacks that exploit this kind of access
list_projects. It is categorised as a Read tool in the Clockify Time Tracking MCP Server, which means it retrieves data without modifying state.
Register the Clockify Time Tracking MCP server in PolicyLayer and add a rule for list_projects: 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 Clockify Time Tracking. Nothing to install.
list_projects 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 list_projects 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 list_projects. 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.
list_projects is provided by the Clockify Time Tracking MCP server (pypi:clockify-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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