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list_blacklist

Lists manually blocked phone numbers excluded from mass marketing campaigns, distinct from voluntary unsubscribes. Supports filtering by phone number and pagination.

Instructions

Ver lista negra de marketing — Obtiene los numeros bloqueados manualmente que no recibiran campanas masivas, distinta de las bajas voluntarias [query]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoFiltrar por numero de telefono
pageNoPagina de resultados
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool retrieves data, but does not disclose whether it is read-only, any side effects, authentication needs, rate limits, or pagination behavior.

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 a single, concise sentence that front-loads the main purpose. The trailing '[query]' is slightly ambiguous but does not detract significantly.

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

Completeness2/5

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

With no output schema, the description should explain what is returned. It fails to mention the structure of the response, pagination details, or any additional context needed for effective use.

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?

The input schema already provides descriptions for both parameters (search and page) with 100% coverage. The description does not add significant meaning beyond the schema, meriting the baseline score.

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 clearly states the tool's purpose: 'Ver lista negra de marketing' and specifies it retrieves manually blocked numbers that won't receive mass campaigns. It distinguishes from voluntary unsubscribes, but doesn't explicitly differentiate from sibling tools like list_unsubscribed_list.

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 description provides a hint about when to use this tool (for manually blocked numbers) versus voluntary unsubscribes, but lacks explicit guidance on when to use it over other blacklist-related tools or alternatives.

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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