collab_decision_record

Legacy-compatible decision record. In a bound session this becomes a structured decision report requiring explicit authority scope and basis.

SERVERAgenttool SOURCEhttps://api.agenttool.dev/v1/mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dev-agenttool-agenttool/collab-decision-record.md

WHAT IT DOES

What collab_decision_record does on Agenttool

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

RISK

Why collab_decision_record is rated Low

Even though collab_decision_record only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs collab_decision_record safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Agenttool, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For collab_decision_record, this is the rule to start with:

collab_decision_record Allowed

collab_decision_record is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "collab_decision_record": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Agenttool, apply this rule, and every collab_decision_record call is checked against it from then on.

FAQ

Questions about collab_decision_record

What does the collab_decision_record tool do? +

Legacy-compatible decision record. In a bound session this becomes a structured decision report requiring explicit authority scope and basis. It is categorised as a Read tool in the Agenttool MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on collab_decision_record? +

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

What risk level is collab_decision_record? +

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

Can I rate-limit collab_decision_record? +

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

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

collab_decision_record is provided by the Agenttool MCP server (https://api.agenttool.dev/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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