Struct SimulationCalibrateTool 

pub struct SimulationCalibrateTool { /* private fields */ }

simulation.calibrate — record predictions, resolve them against reality, and get an honest Brier scorecard with the Murphy decomposition (reliability / resolution / uncertainty).

Actions:

• record — store a prediction with probability + confidence
• resolve — resolve a prediction against its outcome
• scorecard — full calibration report (default)

Implementations

impl SimulationCalibrateTool

pub fn new( store: Arc<Mutex<CalibrationStore>>, self_model: Option<Arc<Mutex<SelfModel>>>, ) -> Self

Trait Implementations

impl Default for SimulationCalibrateTool

fn default() -> Self

Returns the “default value” for a type.

impl Tool for SimulationCalibrateTool

fn name(&self) -> &str

Unique tool name (e.g., “memory.create”, “search.hybrid”)

fn gana(&self) -> Gana

Which Gana this tool belongs to.

fn effects(&self) -> &EffectRow

Effect row — what this tool does to the world.

fn stats(&self) -> &ToolStats

Access this tool’s statistics.

fn description(&self) -> &str

Human-readable description.

fn call<'life0, 'life1, 'async_trait>( &'life0 self, _ctx: &'life1 mut Context, args: Value, ) -> Pin<Box<dyn Future<Output = Result<Value>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Execute the tool.

fn input_schema(&self) -> Value

JSON-Schema-style description of the accepted arguments.