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VerifiMind PEAS - RefleXion Trinity

Consult Agent X

consult_agent_x

Consult X Intelligent agent for innovation and strategy analysis.

X Intelligent specializes in:

  • Innovation potential assessment

  • Strategic value analysis

  • Market opportunity identification

  • Competitive positioning

  • Growth potential evaluation

BYOK (v0.4.5): Pass llm_provider and api_key to use your own LLM. If only api_key is provided, the provider is auto-detected from the key prefix. Keys are ephemeral (never stored) and garbage collected after the call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailNostandard
api_keyNoOptional API key for the provider (ephemeral, never stored)
contextNoOptional additional context or background
user_uuidNo
concept_nameYesShort name or title of the concept
llm_providerNoOptional LLM provider override ('groq', 'anthropic', 'openai', 'gemini', 'mistral', 'ollama', 'mock')
concept_descriptionYesDetailed description of the concept

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the transparency burden. It discloses BYOK behavior: how llm_provider and api_key interact, auto-detection from key prefix, and that keys are ephemeral and garbage-collected. It does not mention side effects, safety profile, or what the agent returns, leaving gaps.

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 compact and well-organized: a purpose statement, a bulleted specialization list, and a short BYOK block. Every sentence adds value; no fluff or redundancy.

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 tool with an output schema, the description adequately covers purpose and BYOK details. It misses explicit when-to-use guidance relative to sibling agents and does not state expected return behavior, though the output schema partially compensates. Overall adequate but not complete.

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 71% (5/7 parameters have descriptions). The description adds meaningful detail for api_key and llm_provider (auto-detection, ephemeral key lifecycle) not present in the schema. It does not clarify detail, context, or user_uuid beyond what the schema already says.

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 clear verb ('Consult') and resource ('X Intelligent agent for innovation and strategy analysis') and lists five specific capability areas. It distinguishes by naming the agent 'X' and its specialization, though it does not explicitly contrast with sibling agents (cs, z).

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

Usage Guidelines3/5

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

The specialization list implies when to use this tool (innovation, strategy, market analysis, etc.), giving clear context. However, there is no explicit 'use when' statement, no alternatives mentioned, and no exclusions or conditions for preferring a sibling agent.

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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