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multi_agent_raft_consensus_leader_election

Elect a leader for a multi-agent swarm using Raft consensus with randomized timers. Handles state transitions and voting to maintain distributed agreement.

Instructions

Implements lightweight Raft distributed consensus protocol state transitions and randomized election timers for multi-agent swarm leader election. (0.045 USDC on Base L2)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesInput parameters or JSON string payload for the tool execution
paymentSignatureNoBase L2 USDC micropayment signature or transaction hash for x402 settlement

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses the core mechanism—state transitions and randomized election timers—and importantly the 0.045 USDC Base L2 payment cost. However, it does not describe observable outcomes, side effects, or whether state is persisted, leaving some behavioral opacity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One compact sentence front-loads the tool's behavior and includes the payment cost as a parenthetical. Every word earns its place, and there is no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex protocol like Raft, the description is under-specified. It does not explain what payload shape to send, what state or parameters are needed, or what the tool returns. With no output schema and no parameter-level detail in the description, an agent lacks enough context to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents the payload and paymentSignature parameters. The description adds domain context but no details about payload structure or required fields, so it neither significantly compensates for nor adds to the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies a specific verb ('Implements') and resource ('Raft distributed consensus protocol state transitions and randomized election timers') tied to 'multi-agent swarm leader election.' It does not explicitly contrast with sibling tools, but no sibling covers Raft consensus, and the purpose is unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states the intended context: multi-agent swarm leader election via Raft consensus. This is enough guidance for an agent to know when to select it. It does not list exclusions or alternative tools, but there is no obvious sibling alternative for this exact function.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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