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ellmos-ai

ellmos-homebase-mcp

Official

hb_swarm_consensus

Collect independent agent votes on a question and return the majority consensus, enabling multi-agent agreement for decision-making.

Instructions

Get majority vote from multiple independent agents

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
votersNoNumber of independent voters to plan.
questionYesQuestion to evaluate by consensus.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0-alpha.29

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does not disclose cost, latency, determinism, tie-breaking behavior, or whether the operation is read-only or spawns real external agents.

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?

The description is a single, front-loaded sentence with no wasted words. It is appropriately sized for the amount of information it chooses to convey.

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 multi-agent consensus tool with no output schema and no annotations, the one-line description is too sparse. It omits result format, tie behavior, and how the independent voters are realized.

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 both parameters are already documented. The description adds only the concept of majority vote and does not extend parameter meaning beyond 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 states a specific verb (Get) and resource (majority vote from multiple independent agents), so the basic action is clear. However, it does not differentiate this tool from sibling swarm tools like hb_swarm_parallel, hb_swarm_hierarchy, or hb_swarm_stigmergy.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus the other swarm coordination tools. The description gives no context, prerequisites, or exclusions.

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