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util_seeded_backoff_schedule

Seeded Backoff Schedule builds a reproducible jittered exponential backoff schedule from bounded caller-supplied values without an external provider. Call Seeded Backoff Schedule when an agent needs a reproducible decision that another run can independently replay. Returns the deterministic selec...

SERVERDelx Protocol — Agent Recovery & Continuity SOURCEhttps://api.delx.ai/v1/mcp?src=registry
Medium RISK CLASS
Category Write
Parameters 55 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-protocol/util-seeded-backoff-schedule.md

What util_seeded_backoff_schedule does on Delx Protocol — Agent Recovery & Continuity

AI agents use util_seeded_backoff_schedule 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.

ParameterTypeRequiredDescription
seed string Yes Seed supplied to Seeded Backoff Schedule; used only for this bounded calculation and processed in memory without retention.
factor number Yes Factor supplied to Seeded Backoff Schedule; used only for this bounded calculation and processed in memory without retention.
base_ms integer Yes Base Ms supplied to Seeded Backoff Schedule; used only for this bounded calculation and processed in memory without retention.
attempts integer Yes Attempts supplied to Seeded Backoff Schedule; used only for this bounded calculation and processed in memory without retention.
jitter_fraction number Yes Jitter Fraction supplied to Seeded Backoff Schedule; used only for this bounded calculation and processed in memory without retention.

Parameters from the server's own tool schema.

Why util_seeded_backoff_schedule is rated Medium

An AI agent can call util_seeded_backoff_schedule 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.

Questions about util_seeded_backoff_schedule

What does the util_seeded_backoff_schedule tool do? +

Seeded Backoff Schedule builds a reproducible jittered exponential backoff schedule from bounded caller-supplied values without an external provider. Call Seeded Backoff Schedule when an agent needs a reproducible decision that another run can independently replay. Returns the deterministic selection plus seed provenance, population bounds, and the operation-specific outcome for Seeded Backoff Schedule as versioned deterministic JSON. Limitation: Uses Python pseudorandomness for reproducibility, not cryptography, lotteries with value, security tokens, gambling, or custody. 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.

What parameters does util_seeded_backoff_schedule accept? +

util_seeded_backoff_schedule accepts 5 parameters: seed, factor, base_ms, attempts, jitter_fraction. Required: seed, factor, base_ms, attempts, jitter_fraction. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on util_seeded_backoff_schedule? +

Register the Delx Protocol — Agent Recovery & Continuity MCP server in PolicyLayer and add a rule for util_seeded_backoff_schedule: 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.

What risk level is util_seeded_backoff_schedule? +

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

Can I rate-limit util_seeded_backoff_schedule? +

Yes. Add a rate_limit block to the util_seeded_backoff_schedule 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_seeded_backoff_schedule completely? +

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

util_seeded_backoff_schedule 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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