pillar_direct_dca_status

Check your DCA schedule status. Shows all active DCA schedules (up to 10) with chunk progress

SERVERAibtc SOURCEaibtcdev/aibtc-mcp-server
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/io-github-aibtcdev-mcp-server/pillar-direct-dca-status.md

What pillar_direct_dca_status does on Aibtc

AI agents call pillar_direct_dca_status to retrieve information from Aibtc without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why pillar_direct_dca_status is rated Low

This tool performs a read-only query of DCA (Dollar Cost Averaging) schedule information. It displays status and progress of existing schedules but does not create, modify, delete, or execute transactions. The action is purely informational retrieval with no side effects.

From the tool's definition 'Check your DCA schedule status' and 'Shows all active DCA schedules' indicate the tool queries and retrieves existing data without modifying it.

Questions about pillar_direct_dca_status

What does the pillar_direct_dca_status tool do? +

Check your DCA schedule status. Shows all active DCA schedules (up to 10) with chunk progress. It is categorised as a Read tool in the Aibtc MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pillar_direct_dca_status? +

Register the Aibtc MCP server in PolicyLayer and add a rule for pillar_direct_dca_status: 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 Aibtc. Nothing to install.

What risk level is pillar_direct_dca_status? +

pillar_direct_dca_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit pillar_direct_dca_status? +

Yes. Add a rate_limit block to the pillar_direct_dca_status 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.

How do I block pillar_direct_dca_status completely? +

Set action: deny in the PolicyLayer policy for pillar_direct_dca_status. 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.

What MCP server provides pillar_direct_dca_status? +

pillar_direct_dca_status is provided by the Aibtc MCP server (aibtcdev/aibtc-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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