run_chain_batch

SERVERAinumbers Mcp Apps SOURCEpostoaklabs/ainumbers-mcp-apps

High RISK CLASS

Category Execute

Parameters 21 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/run-chain-batch.md

WHAT IT DOES

What run_chain_batch does on Ainumbers Mcp Apps

AI agents invoke run_chain_batch 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
`mode`	string	—	"run" (default) executes every row server-side through the same engine as run_chain; "estimate" validates all rows and previews gates without executing anything
`rows`	array	Yes	1-8 rows, one chain per row. The cap keeps the synchronous response bounded and inside the free-plan CPU budget measured live; for larger fan-out use sequential

Parameters from the server's own tool schema.

RISK

Why run_chain_batch is rated High

Batch execution of chains with external effects; failure isolation and deterministic hashing indicate code/transaction execution with side effects.

From the tool's definition executes each row through same engine, composite artifact per row, deterministic

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

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

run_chain_batch Rate-limited

run_chain_batch 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": {
    "run_chain_batch": {
      "limits": [
        {
          "counter": "run_chain_batch_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 run_chain_batch call is checked against it from then on.

FAQ

Questions about run_chain_batch

What does the run_chain_batch tool do? +

Batch over named chains in ONE round-trip with a PER-ROW terminal status — one row's failure never fails another, and every row's result rides the single response. mode:"run" (default) executes each row through the same engine as run_chain (composite artifact + execution_hash per row, deterministic); mode:"estimate" validates every row (chain exists, step counts, compute feasibility, inputs coverage, OCG §21.4 gate rule previews) WITHOUT executing anything. Capped at 8 rows and 11 total server-kernel steps per batch — caps MEASURED live on the deployed free-plan endpoint, where N kernel builds in one invocation share one CPU budget (an 11-step chain: green at 416 ms). Beyond the cap, use sequential run_chain calls — each call gets its own CPU budget (the blessed fan-out pattern on this tier; docs/client-fan-out-patterns.md). Retry = re-run the WHOLE batch: safe, because determinism reproduces byte-identical execution hashes. Mandates and input_required escalation are not accepted on batch rows; escalated rows carry the non-blocking resolve_handle record. Zero PII, zero payload logging. 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 run_chain_batch accept? +

run_chain_batch accepts 2 parameters: mode, rows. Required: rows. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on run_chain_batch? +

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

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

Can I rate-limit run_chain_batch? +

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

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

run_chain_batch 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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