assess_agent_directory_publish_readiness

SERVERAinumbers Mcp Apps SOURCEpostoaklabs/ainumbers-mcp-apps

Medium RISK CLASS

Category Write

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/assess-agent-directory-publish-readiness.md

WHAT IT DOES

What assess_agent_directory_publish_readiness does on Ainumbers Mcp Apps

AI agents use assess_agent_directory_publish_readiness to create or update resources in Ainumbers Mcp Apps, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ainumbers Mcp Apps environment.

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 assess_agent_directory_publish_readiness is rated Medium

An AI agent can call assess_agent_directory_publish_readiness faster than any human can review: one bad instruction and it creates or modifies resources in Ainumbers Mcp Apps by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

assess_agent_directory_publish_readiness Rate-limited

assess_agent_directory_publish_readiness stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "assess_agent_directory_publish_readiness": {
      "limits": [
        {
          "counter": "assess_agent_directory_publish_readiness_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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 assess_agent_directory_publish_readiness call is checked against it from then on.

FAQ

Questions about assess_agent_directory_publish_readiness

What does the assess_agent_directory_publish_readiness tool do? +

Agent Directory Publish Readiness Diagnostic: 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. Consumes upstream artifacts from: art-133-agent-payment-rail-trust-crosswalk. Open at: https://ainumbers.co/chaingraph/art-134-agent-directory-publish-readiness.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 Write tool in the Ainumbers Mcp Apps MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does assess_agent_directory_publish_readiness accept? +

assess_agent_directory_publish_readiness 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 assess_agent_directory_publish_readiness? +

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

assess_agent_directory_publish_readiness is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit assess_agent_directory_publish_readiness? +

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

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

assess_agent_directory_publish_readiness 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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