derive_beacon_fair_sample

SERVERAinumbers Mcp Apps SOURCEpostoaklabs/ainumbers-mcp-apps

High RISK CLASS

Category Execute

Parameters 40 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/postoaklabs-ainumbers-mcp-apps/derive-beacon-fair-sample.md

WHAT IT DOES

What derive_beacon_fair_sample does on Ainumbers Mcp Apps

AI agents invoke derive_beacon_fair_sample to trigger actions in Ainumbers Mcp Apps. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Parameter	Type	Required	Description
`compute`	string	—	Compute mode (v0.4 Compute Binding). "auto" (default) = server for gpu:false nodes with registered kernels; "server" = force server-side; "browser" = always ret
`parent_hashes`	array	—	execution_hash values from upstream ChainGraph AP2 artifacts to chain from (sets chain.parent_hashes in the export).
`parent_tool_ids`	array	—	tool_id values matching parent_hashes, in the same order.
`policy_parameters`	object	—	Input parameters for this tool's decision function. For gpu:false nodes with a registered kernel, these are computed server-side when compute is "auto" or "serv

Parameters from the server's own tool schema.

RISK

Why derive_beacon_fair_sample is rated High

Executes a deterministic computation on a remote node, producing a provenance artifact.

From the tool's definition Deterministic OpenChainGraph compute node... computed server-side on Cloudflare Workers

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs derive_beacon_fair_sample safely

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

derive_beacon_fair_sample Rate-limited

derive_beacon_fair_sample stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "derive_beacon_fair_sample": {
      "limits": [
        {
          "counter": "derive_beacon_fair_sample_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about derive_beacon_fair_sample

What does the derive_beacon_fair_sample tool do? +

Beacon-Seeded Fair-Sampling Deriver: OpenChainGraph compute node (compliance_control). Deterministic OpenChainGraph compute node. By default (compute:"auto") inputs are computed server-side on Cloudflare Workers for gpu:false nodes with a registered kernel; compute:"browser" forces client-side execution and returns a browser delegation URL instead. gpu:true nodes always delegate to the browser. Inputs are processed transiently to compute the response and are not stored, logged, or retained. Use synthetic or anonymised inputs only. Exports an AP2 artifact with execution_hash for chain provenance. Open at: https://ainumbers.co/chaingraph/art-583-beacon-seeded-fair-sampling-deriver.html FV-status (published/proven/still-trusted for this spec): /fv-status/8498d0819c941fdb731f9e10f5d93ee929026919cb111a42149821b48b5ac180.json — a snapshot, not a subscription; this receipt verifies offline regardless of whether that file is ever fetched. Output schema: call describe_tool("derive_beacon_fair_sample"). It is categorised as a Execute tool in the Ainumbers Mcp Apps MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does derive_beacon_fair_sample accept? +

derive_beacon_fair_sample accepts 4 parameters: compute, parent_hashes, parent_tool_ids, policy_parameters. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on derive_beacon_fair_sample? +

Register the Ainumbers Mcp Apps MCP server in PolicyLayer and add a rule for derive_beacon_fair_sample: 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 Ainumbers Mcp Apps. Nothing to install.

What risk level is derive_beacon_fair_sample? +

derive_beacon_fair_sample is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit derive_beacon_fair_sample? +

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

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

derive_beacon_fair_sample is provided by the Ainumbers Mcp Apps MCP server (postoaklabs/ainumbers-mcp-apps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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