center_model_on_bed

A read tool on the Kiln MCP server.

SERVERKiln SOURCEcodeofaxel/Kiln

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/kiln/center-model-on-bed.md

WHAT IT DOES

What center_model_on_bed does on Kiln

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

RISK

Why center_model_on_bed is rated Low

Even though center_model_on_bed 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 center_model_on_bed safely

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

center_model_on_bed Allowed

center_model_on_bed 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": {
    "center_model_on_bed": {}
  }
}

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

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

FAQ

Questions about center_model_on_bed

What does the center_model_on_bed tool do? +

center_model_on_bed is a read tool on the Kiln MCP server. It is categorised as a Read tool in the Kiln MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on center_model_on_bed? +

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

What risk level is center_model_on_bed? +

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

Can I rate-limit center_model_on_bed? +

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

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

center_model_on_bed is provided by the Kiln MCP server (codeofaxel/Kiln). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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