get_agent_productivity_weekly_comparison

Week-over-week Agent productivity comparison. Returns per-agent done counts for current week vs previous week with change percentage. Reveals which agents are ramping up or slowing down.

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/get-agent-productivity-weekly-comparison.md

WHAT IT DOES

What get_agent_productivity_weekly_comparison does on Todo for AI MCP Server

AI agents call get_agent_productivity_weekly_comparison 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 get_agent_productivity_weekly_comparison is rated Low

Even though get_agent_productivity_weekly_comparison 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 get_agent_productivity_weekly_comparison 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 get_agent_productivity_weekly_comparison, this is the rule to start with:

get_agent_productivity_weekly_comparison Allowed

get_agent_productivity_weekly_comparison 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": {
    "get_agent_productivity_weekly_comparison": {}
  }
}

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 get_agent_productivity_weekly_comparison call is checked against it from then on.

FAQ

Questions about get_agent_productivity_weekly_comparison

What does the get_agent_productivity_weekly_comparison tool do? +

Week-over-week Agent productivity comparison. Returns per-agent done counts for current week vs previous week with change percentage. Reveals which agents are ramping up or slowing down. 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 get_agent_productivity_weekly_comparison? +

Register the Todo for AI MCP Server MCP server in PolicyLayer and add a rule for get_agent_productivity_weekly_comparison: 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 get_agent_productivity_weekly_comparison? +

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

Can I rate-limit get_agent_productivity_weekly_comparison? +

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

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

get_agent_productivity_weekly_comparison 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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