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VerifiMind PEAS - RefleXion Trinity

by io.github.creator35lwb-web

consult_agent_z

Consult Z Guardian agent for ethical review and Z-Protocol enforcement.

Z Guardian specializes in:

  • Ethical implications assessment

  • Privacy and data protection review

  • Bias and fairness analysis

  • Social impact evaluation

  • Z-Protocol compliance verification

Z Guardian has VETO POWER. If veto_triggered is True, the concept should not proceed as it crosses ethical red lines.

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')
prior_reasoningNoOptional reasoning from X agent to consider
concept_descriptionYesDetailed description of the concept

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description carries full burden. It discloses the agent's veto power and its consequence ('If veto_triggered is True, the concept should not proceed'), the BYOK key handling ('Keys are ephemeral (never stored) and garbage collected'), and the list of ethical review areas. This is more transparent than typical descriptions.

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 well-structured: a one-sentence purpose, a concise bullet list of specialties, a clear warning about veto power, and a compact BYOK note. Each section contributes distinct information without empty filler.

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

Completeness4/5

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

The description covers the tool's purpose, key behavioral traits, and BYOK usage. Given that an output schema exists and the required parameters are self-explanatory from the schema, the description provides sufficient context for an agent to use the tool correctly. It could mention workflow integration, but that's not necessary.

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

Parameters4/5

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

The schema already documents most parameters with descriptions (75% coverage). The description adds context for llm_provider and api_key, explaining the BYOK flow, auto-detection from key prefix, and ephemerality. It doesn't elaborate on parameters like detail or user_uuid, but they are either simple or schema-documented.

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

Purpose5/5

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

The description uses a specific verb ('Consult') and identifies the resource ('Z Guardian agent') and its function ('ethical review and Z-Protocol enforcement'), with a bulleted list of specializations that clearly distinguishes it from siblings like consult_agent_x and consult_agent_cs.

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 clearly states the tool's purpose and specialties, indicating it is for ethical review and Z-Protocol compliance. It does not explicitly mention when not to use it or compare to alternative agents, but the focused list of capabilities provides clear context for when this tool is appropriate.

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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TDQS

A3.7/5.0
Disambiguation4/5

Most tools have clear, distinct purposes: the three consult_agent_* tools are differentiated by agent specialty (CS, X, Z), and the prompt template tools each serve a unique operation. Minor overlap exists between export_prompt_template and get_prompt_template, and between register_custom_template and import_template_from_url, but descriptions clarify the differences.

Naming Consistency4/5

Tool names predominantly follow a verb_noun pattern (export_, get_, import_, list_, register_, run_, consult_, coordination_handoff_create/read). A minor deviation is coordination_team_status, which is noun_noun, but overall the pattern is predictable and readable.

Tool Count5/5

With 13 tools, the set is well-scoped for a server that combines three-agent consultation, an orchestration command, a coordination subsystem, and prompt template management. Each tool earns its place, though three coordination tools are currently disabled, which slightly reduces their practical value.

Completeness4/5

The core validation workflow is complete: individual agent consultations plus run_full_trinity cover the full X→Z→CS sequence. The prompt template subsystem lacks update and delete operations, which is a minor gap, but the main purpose of the server is well served. The coordination tools are present but disabled, limiting that aspect of the surface.

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