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

With no annotations, the description carries the full burden, and it does disclose two genuinely important traits: the query costs $0.02 USD via x402 (a paid call the agent must budget for) and results are produced 'Sin IA' (deterministic retrieval, not generated). It does not explain the payment mechanics (wallet/signature flow), latency, or failure behavior, which matter for a paid endpoint.

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

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

The name/domain is front-loaded, followed by the return payload and then two short operational flags (no AI, price). It is dense but every sentence carries information; the only friction is unexplained internal jargon such as 'alertas R1 a R6', which costs the reader without adding selectable meaning.

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

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

There is no output schema, so the description must describe the return payload, and it does so explicitly (materia, autoridad, artículos con estado, plazos, alertas, normas/conceptos/sentencias). Combined with 100% schema coverage on inputs and the cost disclosure, an agent has enough to decide and call; only the opaque R1-R6 codes and payment flow remain underspecified.

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

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

Schema description coverage is 100% and the enum for 'materia' is fully self-documenting, so the schema already does the heavy lifting and the baseline of 3 applies. The description hints at 'materia' as an input but adds no guidance on how 'contexto' vs 'pregunta' should be split, which is the one genuinely ambiguous choice.

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

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

The description names a specific resource (Consulta Mercantil: derecho comercial y jurisprudencia, Colombia) and enumerates what a consultation returns (materia, autoridad, artículos con estado, plazos, alertas R1-R6, normas/conceptos/sentencias cercanos). It is clearly a legal-research lookup, distinguishable in kind from the sibling verification/radar tools, though it never explicitly contrasts itself with any of them.

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

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

Usage is only implied: the enumeration of commercial-law outputs signals that this is the tool for Colombian commercial-law questions. There is no explicit when-to-use vs when-not, and no routing guidance relative to siblings such as empresa_mipyme__orientar or verificador_rues__verificar, which an agent might reasonably confuse for a company-law question.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.