util_batch_concurrency_plan
Batch Concurrency Plan calculates batch waves from item count and concurrency from bounded caller-supplied values without an external provider. Call Batch Concurrency Plan before an agent hands structured data or a batch plan to a downstream tool with a stricter contract. Returns the bounded tran...
This record as markdown: /tools/io-github-davidmosiah-delx-protocol/util-batch-concurrency-plan.md
What util_batch_concurrency_plan does on Delx Protocol — Agent Recovery & Continuity
AI agents use util_batch_concurrency_plan to create or update resources in Delx Protocol — Agent Recovery & Continuity, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Delx Protocol — Agent Recovery & Continuity environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
item_count | integer | Yes | Item Count supplied to Batch Concurrency Plan; used only for this bounded calculation and processed in memory without retention. |
concurrency | integer | Yes | Concurrency supplied to Batch Concurrency Plan; used only for this bounded calculation and processed in memory without retention. |
Parameters from the server's own tool schema.
Why util_batch_concurrency_plan is rated Medium
An AI agent can call util_batch_concurrency_plan faster than any human can review: one bad instruction and it creates or modifies resources in Delx Protocol — Agent Recovery & Continuity by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs util_batch_concurrency_plan safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Delx Protocol — Agent Recovery & Continuity, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For util_batch_concurrency_plan, this is the rule to start with:
util_batch_concurrency_plan 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Delx Protocol — Agent Recovery & Continuity, apply this rule, and every util_batch_concurrency_plan call is checked against it from then on.
Questions about util_batch_concurrency_plan
Batch Concurrency Plan calculates batch waves from item count and concurrency from bounded caller-supplied values without an external provider. Call Batch Concurrency Plan before an agent hands structured data or a batch plan to a downstream tool with a stricter contract. Returns the bounded transformation or validation finding with counts, normalized values, and a versioned result contract for Batch Concurrency Plan as versioned deterministic JSON. Limitation: Processes bounded caller-supplied data in memory only; it performs no file fetch, database write, code execution, or retention. It is categorised as a Write tool in the Delx Protocol — Agent Recovery & Continuity MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
util_batch_concurrency_plan accepts 2 parameters: item_count, concurrency. Required: item_count, concurrency. The full parameter table on this page comes from the server's own tool schema.
Register the Delx Protocol — Agent Recovery & Continuity MCP server in PolicyLayer and add a rule for util_batch_concurrency_plan: 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 Delx Protocol — Agent Recovery & Continuity. Nothing to install.
util_batch_concurrency_plan is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the util_batch_concurrency_plan 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.
Set action: deny in the PolicyLayer policy for util_batch_concurrency_plan. 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.
util_batch_concurrency_plan is provided by the Delx Protocol — Agent Recovery & Continuity MCP server (https://api.delx.ai/v1/mcp?src=registry). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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