AI agents call query_projects to retrieve information from Tick without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries project data with no side effects. It does not create, modify, delete, or execute operations—only returns filtered results based on criteria. This is a classic Read operation with minimal risk if misused by an AI agent.
From the tool's definition Tool name is 'query_projects' and description states 'Search/filter projects with folder-aware metadata.' The verbs 'search' and 'filter' indicate data retrieval without modification.
Attacks that exploit this kind of access
Search/filter projects with folder-aware metadata. It is categorised as a Read tool in the Tick MCP Server, which means it retrieves data without modifying state.
Register the Tick MCP server in PolicyLayer and add a rule for query_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 Tick. Nothing to install.
query_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 query_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 query_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.
query_projects is provided by the Tick MCP server (kpihx/tick-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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