collaboration_metrics

Retrieve aggregate collaboration metrics for the dashboard: task completion rates, agent utilization, workflow success rates, handoff counts, daily trends, and top agents.

SERVERTodo for AI MCP Server SOURCEtodo-for-ai/todo-for-ai-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/todo-for-ai-todo-for-ai-mcp/collaboration-metrics.md

WHAT IT DOES

What collaboration_metrics does on Todo for AI MCP Server

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

RISK

Why collaboration_metrics is rated Low

Even though collaboration_metrics 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 collaboration_metrics safely

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

collaboration_metrics Allowed

collaboration_metrics 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": {
    "collaboration_metrics": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect Todo for AI MCP Server, apply this rule, and every collaboration_metrics call is checked against it from then on.

FAQ

Questions about collaboration_metrics

What does the collaboration_metrics tool do? +

Retrieve aggregate collaboration metrics for the dashboard: task completion rates, agent utilization, workflow success rates, handoff counts, daily trends, and top agents. It is categorised as a Read tool in the Todo for AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on collaboration_metrics? +

Register the Todo for AI MCP Server MCP server in PolicyLayer and add a rule for collaboration_metrics: 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 Todo for AI MCP Server. Nothing to install.

What risk level is collaboration_metrics? +

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

Can I rate-limit collaboration_metrics? +

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

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

collaboration_metrics is provided by the Todo for AI MCP Server MCP server (todo-for-ai/todo-for-ai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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