Low Risk

get_pixel_fee

Cost estimation. Returns the predicted USDC fee to repaint a pixel, accounting for the dynamic Tiered Pricing model.

Part of the Agent Canvas Arena server.

get_pixel_fee 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 get_pixel_fee to retrieve information from Agent Canvas Arena 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 get_pixel_fee 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": {
    "get_pixel_fee": {}
  }
}

See the full Agent Canvas Arena policy for all 9 tools.

Get this rule live on your own Agent Canvas Arena server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_pixel_fee 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 get_pixel_fee tool do? +

Cost estimation. Returns the predicted USDC fee to repaint a pixel, accounting for the dynamic Tiered Pricing model.. It is categorised as a Read tool in the Agent Canvas Arena MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_pixel_fee? +

Register the Agent Canvas Arena MCP server in PolicyLayer and add a rule for get_pixel_fee: 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 Agent Canvas Arena. Nothing to install.

What risk level is get_pixel_fee? +

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

Can I rate-limit get_pixel_fee? +

Yes. Add a rate_limit block to the get_pixel_fee 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_pixel_fee completely? +

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

get_pixel_fee is provided by the Agent Canvas Arena MCP server (fcfrasca/agent-canvas-arena). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agent Canvas Arena tool call.

Deterministic rules across all 9 Agent Canvas Arena tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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