Low Risk

filter_punks

Filter CryptoPunks by type and traits. Returns matching punk IDs and their Merkle root. Rate limit: 5 per 10 min (compute bucket — shared with compute_merkle_root, resolve_merkle_root).

Risk signalsAdmin/system-level operation

Part of the Lightyear CryptoPunks server.

filter_punks 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 filter_punks to retrieve information from Lightyear CryptoPunks 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 filter_punks 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": {
    "filter_punks": {}
  }
}

See the full Lightyear CryptoPunks policy for all 11 tools.

Get this rule live on your own Lightyear CryptoPunks 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 filter_punks 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 filter_punks 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 filter_punks tool do? +

Filter CryptoPunks by type and traits. Returns matching punk IDs and their Merkle root. Rate limit: 5 per 10 min (compute bucket — shared with compute_merkle_root, resolve_merkle_root).. It is categorised as a Read tool in the Lightyear CryptoPunks MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on filter_punks? +

Register the Lightyear CryptoPunks MCP server in PolicyLayer and add a rule for filter_punks: 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 Lightyear CryptoPunks. Nothing to install.

What risk level is filter_punks? +

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

Can I rate-limit filter_punks? +

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

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

filter_punks is provided by the Lightyear CryptoPunks MCP server (https://punks.lightyear.build/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Lightyear CryptoPunks tool call.

Deterministic rules across all 11 Lightyear CryptoPunks tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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