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explain_event

Describe each field in a FLOX event struct—its name, type, units, and meaning. Accepts a type name or a raw event dict for introspection.

Instructions

Describe the fields of a FLOX event struct. Accepts a type name ('FloxTradeData', 'FloxBookData', 'FloxBarData', 'FloxSymbolContext', 'FloxSignal') OR a raw event dict; returns each field's name, type, units, and human description. Use when the user asks 'what's in this event'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
type_nameNoEvent struct name. One of: FloxTradeData, FloxBookData, FloxBarData, FloxSymbolContext, FloxSignal.
eventNoOptional event dict to introspect. If type_name is omitted, the dict's shape is matched against known struct shapes.
Behavior3/5

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

No annotations provided, so description carries full burden. Describes what it does but lacks disclosure of edge cases (e.g., both parameters given, unmatched dict). Adequate but not rich.

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?

Three tightly focused sentences: purpose, input details, usage hint. No wasted words, front-loaded.

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

Completeness4/5

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

Given no output schema, description specifies return structure (name, type, units, description). Lacks detail on error handling or output format, but sufficient for agent to understand capability.

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

Parameters4/5

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

Schema coverage is 100%, but description adds meaning by clarifying the OR relationship between type_name and event, and explaining matching behavior when type_name is omitted.

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?

Clearly states 'Describe the fields of a FLOX event struct' with specific verb and resource. Distinguishes from sibling tools like get_event_log by focusing on structural explanation.

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?

Includes explicit usage hint: 'Use when the user asks what's in this event.' Provides clear context without exclusions.

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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