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peopleworks

xaf-logic-explainer

xaf_entity

Get a complete entity definition: properties, types, relationships, validation rules, appearance rules, and calculated expressions. Consult it before changing entity-related code.

Instructions

Full detail of one business entity: every property with its type and attributes, relationships to other entities, validation rules, appearance rules, and calculated property expressions. Use before writing or changing any code that touches an entity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesEntity class name, e.g. 'Invoice'. Case-insensitive.
projectNoProject name, when several are configured.
Behavior4/5

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

With no annotations provided, the description carries the burden of indicating the tool's behavior. It discloses the full detail returned and implicitly signals a read-only operation via 'Use before writing or changing'. However, it does not explicitly state side effects or permissions, though likely unnecessary for this context.

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?

Two sentences, front-loaded with a clear definition of what the tool does, followed by a concise usage directive. No filler.

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?

Despite lacking an output schema, the description thoroughly enumerates the return content and provides a clear usage context. It is sufficient for an agent to know when and how to use this tool.

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 schema already provides 100% coverage, including type and description for each parameter. The description adds no additional parameter-level guidance, so the baseline of 3 applies.

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 returns full detail of a single business entity, enumerating the categories of information included. This is specific and distinguishes it from sibling tools like xaf_search or xaf_overview, which likely provide broader or partial views.

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 provides explicit guidance to use this tool before writing or changing code that touches an entity, which establishes a clear 'when to use' context. However, it does not explicitly name alternative tools or state when not to use it, so it falls short of full differentiation guidance.

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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