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validate_component_integration

Validates component integration by checking module imports, method arity, and parameter shape. Returns errors and findings for strategy components.

Instructions

Import each component module via StrategyLoader and check its method arity + strategy_params.DEFAULT_PARAMS top-level shape.

    - STR-002: module fails to import (= guaranteed runtime failure).
    - PRM-002: DEFAULT_PARAMS missing a required top-level key, or a
      value isn't a dict.
    - VAL-005: method's required-positional arity (after ``self``)
      doesn't match the protocol. Arg NAMES are not checked — the
      framework calls positionally, so names are the author's choice.

    Returns ``{"any_errors": bool, "findings": [...]}``.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
strategy_dirYes
Behavior4/5

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

With no annotations, the description carries the full burden of transparency. It explains the three error conditions, the focus on import success and structural checks, and notes that argument names are ignored. It also states the return format. However, it omits side effects (likely none) and any authentication or performance implications.

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 well-structured with bullet points and clear error code references. It conveys necessary information without extraneous text. However, it could be slightly more concise by combining some lines, but overall it's effective.

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 the tool's complexity (1 parameter, no output schema), the description is relatively complete. It explains the validated aspects, error conditions, and return structure. Missing context includes an example or clarification on the format of 'findings' items, but the provided detail is sufficient for basic usage.

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?

The input schema has only one parameter (strategy_dir) with no description. The tool description implies that strategy_dir is a directory for component modules by mentioning 'Import each component module via StrategyLoader', but does not explicitly define it or specify its format. This adds some context but could be clearer for an AI agent.

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's purpose: importing component modules via StrategyLoader and checking method arity and DEFAULT_PARAMS shape. It lists specific error codes (STR-002, PRM-002, VAL-005), making the intent precise and actionable. This distinguishes it from sibling validators like validate_component_logging.

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?

The description does not provide any guidance on when to use this tool versus alternatives. It lacks explicit context for when to run integration checks or how it differs from other validation tools. No when-not-to-use or prerequisite information is given.

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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