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nexus_opinion

Reexamines a legal response from another AI model to identify omissions, biases, or regulatory errors. Provides a second opinion for high-value cases needing double validation.

Instructions

SEGUNDA OPINIÓN JURÍDICA (Nodo Opinion — control adversarial con LLM distinto al Nodo A). Toma una respuesta del Nodo A y la reexamina con un modelo diferente, buscando: omisiones, sesgos, errores de aplicación normativa, o jurisprudencia ignorada. Útil para casos de alto valor. USAR CUANDO: el cliente exige doble validación sobre una posición jurídica antes de actuar. Coste: 2 créditos.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesPregunta sobre la que se quiere segunda opinión jurídica.
nodaAResponseYesRespuesta del Nodo A (Qwen/DeepSeek) sobre la pregunta.
analysisContextNoContexto adicional del expediente (opcional).
jurisdictionNoES
languageNoes
Behavior3/5

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

No annotations exist, so the description must carry full weight. It discloses the use of a different model and the cost (2 credits), but lacks details on side effects, data handling, or limitations.

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

Conciseness4/5

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

The description is front-loaded with the core function, followed by specific criteria and usage recommendation. It is concise but thorough, wasting no words.

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?

Given the lack of output schema and 5 parameters, the description covers the essential purpose, usage context, and cost. It does not explain return values, but that is acceptable without an output schema.

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

Parameters2/5

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

The description only implicitly refers to 'nodaAResponse' and does not explain other parameters like jurisdiction, language, or analysisContext. With 60% schema coverage, the description adds minimal value beyond the schema.

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 clearly identifies the tool as providing a second legal opinion by reexamining a Node A response with a different LLM, specifying the search for omissions, biases, and errors. This distinguishes it from siblings like nexus_adversarial which likely focuses on adversarial testing.

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?

Explicitly states when to use: when the client demands double validation on a legal position. It does not cover when not to use or alternatives, but the guidance is clear and actionable.

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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