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deliberation.multi-agent-debate

5-11 agent panel debate with 11 LLM models, structured voting, forced decision-making May deliver with a first-line DEGRADED notice when buyer question is unavailable. (x402: $2.00 USDC per call)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNoTask/query text for this SKU

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
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 usefully discloses panel size, model count, voting/forced-decision behavior, a degraded-output notice, and per-call cost ($2.00 USDC via x402), which is genuinely valuable. It omits latency, auth requirements, and what a successful result actually contains, so it is above minimal but not rich.

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

Conciseness3/5

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

It is compact, and putting cost in parentheses at the end is sensible. But the sentence 'forced decision-making May deliver with a first-line DEGRADED notice...' is a run-on with a stray capital and garbled phrasing, which hurts readability. Front-loading the capability itself is good.

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

Completeness3/5

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

For a complex deliberation tool with no annotations and no output schema, the description covers capability, cost, and a degraded-output caveat, which is reasonable. It still lacks return-shape expectations and any guidance on when to prefer this over the many sibling council/oracle tools, leaving real gaps.

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?

There is a single parameter ('task') with 100% schema description coverage, so the schema already documents it. The description adds no syntax, format, or length guidance for the task text beyond what the schema provides, which lands at the baseline for high coverage.

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 names a concrete capability: a 5-11 agent panel debate using 11 LLM models with structured voting and forced decision-making. That is a clear verb+resource an agent can recognize. However, it does not distinguish this tool from plausible siblings like procurement.council, arbitration.dispute-settlement, or research.topic-deep-researcher, so it stops short of a 5.

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 explicit when-to-use, when-not-to-use, or named alternative. The only operational note ('DEGRADED notice when buyer question is unavailable') describes an output condition, not a selection criterion. An agent is left to infer that this is the multi-agent deliberation option among many council/oracle siblings.

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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