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lu_list_templates

List available protocol templates from the standard library. Filter by category: communication, data, business, ai_ml, or security.

Instructions

List available Lingua Universale standard library protocol templates.

The standard library contains 20 verified protocols across 5 categories:
communication, data, business, ai_ml, security.

Args:
    category: Optional filter. One of: communication, data, business,
        ai_ml, security. Leave empty to list all templates.

Returns:
    JSON string with:
      ok (bool), templates (list), category_filter (str), total (int).
      Each template has: name, category, description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries full burden. It describes the return structure (JSON with ok, templates, category_filter, total) and the number of templates and categories. It does not cover error handling or edge cases, but for a read-only list tool this is sufficient.

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 with Args and Returns sections, each sentence adds value. It is concise yet complete, with no redundant information.

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

Completeness5/5

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

Given the tool's simplicity (list with optional filter), the description covers all necessary context: purpose, parameter usage, and return format. No additional information is needed for correct invocation.

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 0%, but the description fully compensates by specifying the allowed values for the category parameter and explaining the default behavior (empty lists all). This adds essential meaning 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 states the tool lists available Lingua Universale standard library protocol templates, specifying the resource and action. It distinguishes from sibling tools (check, load, verify) by focusing on listing.

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?

It provides clear guidance on using the optional category filter, including the list of allowed categories and that leaving it empty lists all. However, it does not explicitly state when not to use this tool versus alternatives, though the context of siblings makes it clear.

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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