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util_seeded_feature_bucket

Seeded Feature Bucket maps a stable subject to an integer feature bucket from bounded caller-supplied values without an external provider. Call Seeded Feature Bucket when an agent needs a reproducible decision that another run can independently replay. Returns the deterministic selection plus see...

SERVERDelx Mcp A2a SOURCEhttps://api.delx.ai/v1/mcp
High RISK CLASS
Category Execute
Parameters 33 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-seeded-feature-bucket.md

What util_seeded_feature_bucket does on Delx Mcp A2a

AI agents invoke util_seeded_feature_bucket to trigger actions in Delx Mcp A2a. 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.

ParameterTypeRequiredDescription
seed string Yes Seed supplied to Seeded Feature Bucket; used only for this bounded calculation and processed in memory without retention.
subject string Yes Subject supplied to Seeded Feature Bucket; used only for this bounded calculation and processed in memory without retention.
bucket_count integer Yes Bucket Count supplied to Seeded Feature Bucket; used only for this bounded calculation and processed in memory without retention.

Parameters from the server's own tool schema.

Why util_seeded_feature_bucket is rated High

util_seeded_feature_bucket triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Questions about util_seeded_feature_bucket

What does the util_seeded_feature_bucket tool do? +

Seeded Feature Bucket maps a stable subject to an integer feature bucket from bounded caller-supplied values without an external provider. Call Seeded Feature Bucket 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 Feature Bucket 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 Execute tool in the Delx Mcp A2a MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does util_seeded_feature_bucket accept? +

util_seeded_feature_bucket accepts 3 parameters: seed, subject, bucket_count. Required: seed, subject, bucket_count. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on util_seeded_feature_bucket? +

Register the Delx Mcp A2a MCP server in PolicyLayer and add a rule for util_seeded_feature_bucket: 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_seeded_feature_bucket? +

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

Can I rate-limit util_seeded_feature_bucket? +

Yes. Add a rate_limit block to the util_seeded_feature_bucket 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_feature_bucket completely? +

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

util_seeded_feature_bucket 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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