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list_indicators

Retrieve all indicators available in the FLOX framework, including their signatures, batch functions, and output shapes. Filter by name to find specific indicators.

Instructions

List every indicator exposed by the FLOX Python binding with its class signature, batch function (if any), and shape (single-input scalar, OHLC tuple, multi-output, …). Use this when the user asks 'what indicators does FLOX support' or before suggesting an indicator name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoOptional substring filter; case-insensitive.
Behavior4/5

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

No annotations provided, so description carries full burden. It accurately describes a read-only listing operation with no side effects. Minor omission: does not explicitly state it is non-destructive, but it's obvious from 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 concise sentences: first defines purpose and output content, second provides usage guidance. No wasted words.

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 simple listing tool, the description covers what it returns and when to use it. No output schema needed as return values are described inline. Complete for context.

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?

Schema describes the only parameter 'filter' with detail (optional, substring, case-insensitive). Description adds no extra semantic value; baseline 3 for 100% schema coverage.

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?

Description clearly states the verb 'list', the resource 'indicators', and specifies what is included: class signature, batch function, and shape. This differentiates it from sibling tools like compute_indicator or suggest_indicator.

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?

Explicitly states when to use: when user asks 'what indicators does FLOX support' or before suggesting an indicator name. This provides clear context and distinguishes from 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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