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validate_indicator_list

Validate a flat-dict strategy indicator list JSON payload against the catalog, returning validation status and structured error details for invalid inputs.

Instructions

Validate a flat-dict strategy_indicator_list.json payload against the catalog.

    Args:
        payload_json: JSON string of the flat-dict
            (e.g. ``'{"rsi": {"timeperiod": [10, 20]}}'``).

    Returns a dict ``{"valid": bool, "errors": [{code, field, message, suggestion}]}``.
    Bad JSON surfaces as a structured error, not a raise.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payload_jsonYes
Behavior3/5

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

The description reveals that invalid JSON results in a structured error instead of an exception, which is a key behavioral trait. However, it does not confirm read-only status or other side effects, and annotations are absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively concise with a clear structure (Args/Returns), though the docstring format uses some extra lines. Every piece of information is relevant.

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, the description adequately specifies the return format and error handling. It could mention catalog dependency or constraints, but is sufficient for a simple validation tool.

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?

The description provides a concrete example and explains the expected JSON format for the single parameter payload_json, compensating for the schema's lack of description.

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 validates a specific payload format (flat-dict strategy_indicator_list.json) against a catalog. It distinguishes from sibling validation tools by specifying the exact resource name.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like validate_component_integration or validate_strategy. No prerequisites or exclusion criteria mentioned.

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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