New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

util_seeded_sample_indices

Seeded Sample Indices samples unique zero-based indices from a population size from bounded caller-supplied values without an external provider. Call Seeded Sample Indices when an agent needs a reproducible decision that another run can independently replay. Returns the deterministic selection pl...

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-sample-indices.md

What util_seeded_sample_indices does on Delx Mcp A2a

AI agents invoke util_seeded_sample_indices 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 Sample Indices; used only for this bounded calculation and processed in memory without retention.
count integer Yes Count supplied to Seeded Sample Indices; used only for this bounded calculation and processed in memory without retention.
population_size integer Yes Population Size supplied to Seeded Sample Indices; used only for this bounded calculation and processed in memory without retention.

Parameters from the server's own tool schema.

Why util_seeded_sample_indices is rated High

util_seeded_sample_indices 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_sample_indices

What does the util_seeded_sample_indices tool do? +

Seeded Sample Indices samples unique zero-based indices from a population size from bounded caller-supplied values without an external provider. Call Seeded Sample Indices 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 Sample Indices 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_sample_indices accept? +

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

How do I enforce a policy on util_seeded_sample_indices? +

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

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

Can I rate-limit util_seeded_sample_indices? +

Yes. Add a rate_limit block to the util_seeded_sample_indices 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_sample_indices completely? +

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

util_seeded_sample_indices 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.

More on Delx Mcp A2a, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Delx Mcp A2a's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.