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xaf-logic-explainer

xaf_walkthrough

Trace a business process end to end from any action, controller, or entity. Shows execution order, entities touched, and governing rules, with file and line per step; unfollowed calls are reported.

Instructions

Trace one business process end to end: what runs, in what order, which entities it touches and which rules govern them, every step citing file and line. Start from an action, a controller method, a controller or an entity. Use this when asked HOW something works — 'how does approval work', 'what happens when I press this' — rather than what exists. Calls the trace could not follow are reported explicitly, so an empty list of them means the path really is complete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fromYesWhere to start: an action, a controller method, a controller or an entity.
depthNoHow many hops to follow. Three covers an ordinary XAF process.
projectNoProject name, when several are configured.
Behavior4/5

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

With no annotations, the description takes the full burden of behavioral disclosure. It successfully discloses a important limitation: calls the trace cannot follow are reported explicitly, and an empty list has a meaningful interpretation. It does not explicitly state whether the tool is side-effect free, but the read-only affordance of a trace is strongly implied.

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 three dense sentences with no filler. It opens with a concise definition of the tool, then quickly gives usage criteria, and ends with an important nuance about the completeness of the path.

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?

For a complex exploration/walkthrough tool with no output schema and no annotations, the description covers the needed invocation context: starting points, scope, traversal boundaries, citation by file and line, and interpretation of missing-boundary results. It gives enough structure for an agent to know both when and how to call it.

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 covers all three parameters with descriptions, so schema coverage is 100%; the baseline is 3. The description only reinforces the required 'from' parameter's valid starting points without adding behavior or details about 'depth' or 'project' 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 states a specific action—'Trace e one business process end to end'—and specifies what the trace covers: what runs, execution order, touched entities, and governing rules. The phrase 'rather than what exists' distills the tool from sibling existence/search tools, so selected against and invocation are unambiguous.

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

Usage Guidelines5/5

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

It explicitly says to use this path 'when asked HOW something works' and gives concrete examples like 'how does approval work' and 'what happens when I press this'. It also contrasts it with what-exists questions, giving an explicit when-to-use and when-not-to-use distinction.

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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