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Add executeSeparated method to execute a given Tool model directly for debugging and testing #67

Description

@MaestroError

Motivation

Currently, execution in MCIClient is only initiated by tool name lookup. There is demand for a new method, executeSeparated, which would:

  • Allow passing a Tool model, a dictionary of props, and a dictionary of env_vars directly
  • Use the same execution engine (templating, executor, result formatting) as primary execute
  • Return the ExecutionResult object
  • Bypass toolset filtering, allowing isolated/dynamic tool testing

Use Case

  • Debug/test specific Tool models in memory (e.g., after modifying config, retrieved from DB, or constructed on-the-fly)
  • Validate behavior with different props/env_vars without modifying global context or schema
  • Used by developers, integration tests, IDE plugins

Requirements

  • Add executeSeparated(tool: Tool, props: dict, env_vars: dict, validating: bool = False) method to MCIClient
    • Accepts an instantiated Tool model (from Pydantic)
    • Accepts props and env_vars as dicts
    • Optionally supports validating mode (same restrictions as top-level client)
    • Returns ExecutionResult, same as normal execute
    • Must use same execution and templating logic (call same internal engine/factory as regular execution)
  • Document the method and describe when/how to use it (non-persistent, debug, testing only)
  • No impact on main tool registry or tool filtering

Acceptance Criteria

  • Passing a Tool, props, and env_vars executes independently (no context pollution, uses same adapters as normal)
  • Error returned if Tool model is invalid or missing execution config/type
  • Unit tests for different execution types
  • Clear docstring and API docs

References


Label: enhancement
type: Feature

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