Low Risk

ecommerce_namer

Generate archive-grounded colour names for up to 40 product SKUs. Input: list of hex values, product category, brand name, naming style. Output: for each hex -- archive name, source citation, one-line product description, dE2000 match distance, match quality, and confidence score. Every name is a...

Risk signalsBulk/mass operation — affects multiple targets

Part of the Colour Memory server.

ecommerce_namer is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call ecommerce_namer to retrieve information from Colour Memory without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though ecommerce_namer only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ecommerce_namer": {}
  }
}

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These attack patterns abuse exactly the kind of access ecommerce_namer gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so ecommerce_namer only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the ecommerce_namer tool do? +

Generate archive-grounded colour names for up to 40 product SKUs. Input: list of hex values, product category, brand name, naming style. Output: for each hex -- archive name, source citation, one-line product description, dE2000 match distance, match quality, and confidence score. Every name is archive-sourced, not invented. Each carries a primary source citation that can be defended to buyers, press, and brand teams. Use for paint ranges, candle collections, fashion lines, homeware, cosmetics. Style options: geographical, poetic, material, literary, mixed.. It is categorised as a Read tool in the Colour Memory MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ecommerce_namer? +

Register the Colour Memory MCP server in PolicyLayer and add a rule for ecommerce_namer: 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 Colour Memory. Nothing to install.

What risk level is ecommerce_namer? +

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

Can I rate-limit ecommerce_namer? +

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

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

ecommerce_namer is provided by the Colour Memory MCP server (https://colour-memory-api-production.up.railway.app/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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