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Glama

§5: Relación con el humano: copiloto, reviewer, challenger

aplicar_challenger

Aplica el patrón challenger/red-team a la definición o a una decisión del agente: contraargumentos basados en datos, autocrítica y gate de calidad. Útil como segunda pasada adversarial. Recibe la definición del agente y devuelve un brief de evaluación estructurado.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoIdioma de la respuesta (default "es"). / Response language: pass "en" for English output.
agent_definitionYesDefinición completa del agente a mejorar: system prompt, frontmatter, configuración, descripción de tools y cualquier doc de diseño. Cuanto más completa, mejor la evaluación.

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool receives an agent definition and returns a structured evaluation brief, and that it applies data-based counterarguments and self-criticism. This adequately describes the non-destructive, analytical behavior without side effects.

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 two sentences long, front-loaded with the main purpose, and contains no unnecessary words. Every sentence adds essential information: what it does, when to use, and what it produces.

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 tool has two parameters, no output schema, and no annotations, the description covers the necessary inputs and high-level output ('brief de evaluación estructurado'). It could be more specific about the output structure, but it is sufficient for a tool of this complexity.

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

Parameters5/5

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

Schema coverage is 100%, and the description adds value beyond the schema by advising 'Cuanto más completa, mejor la evaluación,' which gives the agent practical guidance on parameter usage. The language parameter is also clearly explained with enum options.

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 states the tool applies the challenger/red-team pattern to agent definitions or decisions, specifying it produces structured counterarguments, self-criticism, and a quality gate. It distinguishes itself from siblings like 'challenger_decision' by mentioning it's useful as a second adversarial pass, implying a distinct use case.

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 explicitly states 'Útil como segunda pasada adversarial,' providing clear context for when to use the tool. However, it does not explicitly state when not to use it or list alternative tools, relying on implication from the sibling set.

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

A3.8/5.0
Disambiguation4/5

Tools are mostly distinct with clear purposes, but some overlap exists between auditing and reviewing tools (e.g., auditar_contexto vs. revisar_rol_y_frontera). The meta-tool recomendar_flujo might cause initial confusion but descriptions clarify its role.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in Spanish (e.g., aplicar_challenger, auditar_contexto). The naming is uniform and predictable across all 18 tools.

Tool Count5/5

18 tools is well-scoped for the server's purpose of comprehensive agent governance. Each tool covers a distinct aspect of the agent lifecycle without being overwhelming.

Completeness5/5

The tool surface covers the full lifecycle from evaluation, design, auditing, contract generation, to final construction. No obvious gaps; the set is self-contained for agent governance.