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validate_qa_output

Validates output at a specific stage to ensure quality before advancing to the next phase.

Instructions

Validate output before moving to next stage

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stageYes
outputYes
require_validationNo
Behavior1/5

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

No annotations are provided, so the description must disclose behavioral traits. It does not mention any side effects, authentication needs, or what happens on failure. The description is too minimal to convey any behavioral transparency.

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

Conciseness2/5

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

The description is extremely concise at one sentence, but it is under-specified. Conciseness is positive only when paired with sufficient information; here it sacrifices completeness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of many sibling validation tools and the lack of an output schema, this description is completely inadequate. It does not explain return values, behavior, or when to use this tool, making it nearly useless for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has three parameters with no descriptions (0% coverage), and the description adds no meaning to them. It does not explain what stage, output, or require_validation mean, leaving the agent without essential usage details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool validates output before moving to the next stage, giving a clear verb and resource. However, it lacks specificity about what kind of output and what validation entails, and it does not distinguish from similar sibling tools like validate_context_health or validate_execution_readiness.

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 is provided about when to use this tool versus alternatives. The description does not mention prerequisites, exclusions, or context for its use among the many sibling validation tools.

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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