classify_ledger_consensus_finality

SERVERAinumbers Mcp Apps SOURCEpostoaklabs/ainumbers-mcp-apps

Low RISK CLASS

Category Read

Parameters 40 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/postoaklabs-ainumbers-mcp-apps/classify-ledger-consensus-finality.md

WHAT IT DOES

What classify_ledger_consensus_finality does on Ainumbers Mcp Apps

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

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 classify_ledger_consensus_finality is rated Low

Reads ledger data to classify consensus finality; transient processing without persistence or side effects.

From the tool's definition Deterministic compute node, classifier, returns artifact with execution_hash, inputs not stored

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs classify_ledger_consensus_finality 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 classify_ledger_consensus_finality, this is the rule to start with:

classify_ledger_consensus_finality Allowed

classify_ledger_consensus_finality 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": {
    "classify_ledger_consensus_finality": {}
  }
}

ALLOW ONLY 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 classify_ledger_consensus_finality call is checked against it from then on.

FAQ

Questions about classify_ledger_consensus_finality

What does the classify_ledger_consensus_finality tool do? +

Ledger Consensus Finality Classifier: OpenChainGraph compute node (compliance_mandate). 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-527-classify-ledger-consensus-finality.html FV-status (published/proven/still-trusted for this spec): /fv-status/8b5ae30d812cd234cfb6068c4ce2022f01d10f2a358979b0f0d73421e09d2543.json — a snapshot, not a subscription; this receipt verifies offline regardless of whether that file is ever fetched. It is categorised as a Read tool in the Ainumbers Mcp Apps MCP Server, which means it retrieves data without modifying state.

What parameters does classify_ledger_consensus_finality accept? +

classify_ledger_consensus_finality 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 classify_ledger_consensus_finality? +

Register the Ainumbers Mcp Apps MCP server in PolicyLayer and add a rule for classify_ledger_consensus_finality: 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 classify_ledger_consensus_finality? +

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

Can I rate-limit classify_ledger_consensus_finality? +

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

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

classify_ledger_consensus_finality 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.

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