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util_seeded_matrix_cell

Seeded Matrix Cell selects one reproducible row and column inside matrix bounds from bounded caller-supplied values without an external provider. Call Seeded Matrix Cell when an agent needs a reproducible decision that another run can independently replay. Returns the deterministic selection plus...

SERVERDelx Protocol — Agent Recovery & Continuity SOURCEhttps://api.delx.ai/v1/mcp?src=registry
Low RISK CLASS
Category Read
Parameters 33 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-davidmosiah-delx-protocol/util-seeded-matrix-cell.md

What util_seeded_matrix_cell does on Delx Protocol — Agent Recovery & Continuity

AI agents call util_seeded_matrix_cell to retrieve information from Delx Protocol — Agent Recovery & Continuity without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
rows integer Yes Rows supplied to Seeded Matrix Cell; used only for this bounded calculation and processed in memory without retention.
seed string Yes Seed supplied to Seeded Matrix Cell; used only for this bounded calculation and processed in memory without retention.
columns integer Yes Columns supplied to Seeded Matrix Cell; used only for this bounded calculation and processed in memory without retention.

Parameters from the server's own tool schema.

Why util_seeded_matrix_cell is rated Low

Even though util_seeded_matrix_cell only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about util_seeded_matrix_cell

What does the util_seeded_matrix_cell tool do? +

Seeded Matrix Cell selects one reproducible row and column inside matrix bounds from bounded caller-supplied values without an external provider. Call Seeded Matrix Cell 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 Matrix Cell 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 Read tool in the Delx Protocol — Agent Recovery & Continuity MCP Server, which means it retrieves data without modifying state.

What parameters does util_seeded_matrix_cell accept? +

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

How do I enforce a policy on util_seeded_matrix_cell? +

Register the Delx Protocol — Agent Recovery & Continuity MCP server in PolicyLayer and add a rule for util_seeded_matrix_cell: 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_matrix_cell? +

util_seeded_matrix_cell is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit util_seeded_matrix_cell? +

Yes. Add a rate_limit block to the util_seeded_matrix_cell 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_matrix_cell completely? +

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

util_seeded_matrix_cell 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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