propose_research_chain

Create a Research → Plan → Implement triple under an existing parent

Server Planning System MCP Server tagents/agent-planner-mcp
Category Write
Risk class Medium
Parameters 00 required

What propose_research_chain does on Planning System MCP Server

AI agents use propose_research_chain to create or update resources in Planning System MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Planning System MCP Server environment.

Why propose_research_chain needs a policy

An AI agent can call propose_research_chain faster than any human can review — one bad instruction and it creates or modifies resources in Planning System MCP Server by the hundred, each call as confident as the last.

Questions about propose_research_chain

What does the propose_research_chain tool do? +

Create a Research → Plan → Implement triple under an existing parent. It is categorised as a Write tool in the Planning System MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on propose_research_chain? +

Register the Planning System MCP Server MCP server in PolicyLayer and add a rule for propose_research_chain: 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 Planning System MCP Server. Nothing to install.

What risk level is propose_research_chain? +

propose_research_chain is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit propose_research_chain? +

Yes. Add a rate_limit block to the propose_research_chain 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 propose_research_chain completely? +

Set action: deny in the PolicyLayer policy for propose_research_chain. 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 propose_research_chain? +

propose_research_chain is provided by the Planning System MCP Server MCP server (tagents/agent-planner-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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