New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

get_experiences_confidence_distribution

Confidence interval distribution for the user valid experiences. Buckets into 5 intervals (0-0.2, 0.2-0.4, 0.4-0.6, 0.6-0.8, 0.8-1.0) with count, percentage, and average reuses. Reveals whether the experience pool is mostly high- or low-confidence.

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-experiences-confidence-distribution.md

What get_experiences_confidence_distribution does on Todo for AI MCP Server

AI agents call get_experiences_confidence_distribution 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.

Why get_experiences_confidence_distribution is rated Low

Even though get_experiences_confidence_distribution 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.

Questions about get_experiences_confidence_distribution

What does the get_experiences_confidence_distribution tool do? +

Confidence interval distribution for the user valid experiences. Buckets into 5 intervals (0-0.2, 0.2-0.4, 0.4-0.6, 0.6-0.8, 0.8-1.0) with count, percentage, and average reuses. Reveals whether the experience pool is mostly high- or low-confidence. 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_experiences_confidence_distribution? +

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

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

Can I rate-limit get_experiences_confidence_distribution? +

Yes. Add a rate_limit block to the get_experiences_confidence_distribution 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_experiences_confidence_distribution completely? +

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

get_experiences_confidence_distribution 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.

More on Todo for AI MCP Server, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Todo for AI MCP Server's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.