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pineforge-4pass

PineForge-Codegen

list_engine_params

Retrieve all configurable engine parameters for PineScript backtesting, including strategy overrides and runtime arguments, to discover available knobs before running a backtest.

Instructions

Returns the full catalog of engine knobs accepted by backtest_pine / backtest_pine_grid in two groups: strategy_overrides (the 9 strategy(...) header fields the runtime reads via PINEFORGE_OVERRIDES — initial_capital, pyramiding, slippage, commission_value, commission_type, default_qty_value, default_qty_type, process_orders_on_close, close_entries_rule) and runtime_args (input_tf, script_tf, bar_magnifier, magnifier_samples, magnifier_dist — args to run_backtest_full, NOT part of the strategy() header). Each entry is {key, type, enum?, description}. Does not run the engine. Use this to discover what knobs the engine exposes before issuing a backtest.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries full burden. Clearly states it is read-only ('Does not run the engine'), which is the key behavioral trait. No additional disclosure needed for a listing tool.

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?

Single paragraph is well-structured, front-loaded with purpose, and contains all necessary details without extraneous information.

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?

Given no output schema, description fully specifies return structure: two groups with keys, types, enum?, description. Complete for a discovery tool with no parameters.

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?

Tool has 0 parameters; schema coverage 100%. Description adds value by explaining the structure of the returned catalog, which compensates for lack of params. Baseline for 0 params is 4.

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 it returns a catalog of engine knobs for backtest_pine/backtest_pine_grid and explicitly says 'Does not run the engine', distinguishing it from sibling tools that execute backtests.

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 explicitly advises using this tool before issuing a backtest to discover knobs. It doesn't explicitly state when not to use it, but the context of sibling tools makes the usage clear.

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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