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util_batch_retry_partition

Batch Retry Partition partitions batch results into retryable and terminal identifiers from bounded caller-supplied values without an external provider. Call Batch Retry Partition before an agent hands structured data or a batch plan to a downstream tool with a stricter contract. Returns the boun...

SERVERDelx Mcp A2a SOURCEhttps://api.delx.ai/v1/mcp
Medium RISK CLASS
Category Write
Parameters 22 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-davidmosiah-delx-mcp-a2a/util-batch-retry-partition.md

What util_batch_retry_partition does on Delx Mcp A2a

AI agents use util_batch_retry_partition to create or update resources in Delx Mcp A2a, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Delx Mcp A2a environment.

ParameterTypeRequiredDescription
results array Yes Results supplied to Batch Retry Partition; used only for this bounded calculation and processed in memory without retention.
retry_statuses array Yes Retry Statuses supplied to Batch Retry Partition; used only for this bounded calculation and processed in memory without retention.

Parameters from the server's own tool schema.

Why util_batch_retry_partition is rated Medium

An AI agent can call util_batch_retry_partition faster than any human can review: one bad instruction and it creates or modifies resources in Delx Mcp A2a by the hundred, each call as confident as the last.

Questions about util_batch_retry_partition

What does the util_batch_retry_partition tool do? +

Batch Retry Partition partitions batch results into retryable and terminal identifiers from bounded caller-supplied values without an external provider. Call Batch Retry Partition 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 Retry Partition 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 Mcp A2a MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does util_batch_retry_partition accept? +

util_batch_retry_partition accepts 2 parameters: results, retry_statuses. Required: results, retry_statuses. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on util_batch_retry_partition? +

Register the Delx Mcp A2a MCP server in PolicyLayer and add a rule for util_batch_retry_partition: 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 Mcp A2a. Nothing to install.

What risk level is util_batch_retry_partition? +

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

Can I rate-limit util_batch_retry_partition? +

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

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

util_batch_retry_partition is provided by the Delx Mcp A2a MCP server (https://api.delx.ai/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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