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validate_data_source

Validates data source configuration to confirm correctness and prevent runtime errors in stream processing.

Instructions

Validate data source configuration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
data_source_configYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It only says 'validate', which implies a non-destructive check, but gives no details on side effects, success/failure behavior, or what happens to the configuration.

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?

While the description is a single sentence, it is under-specified and lacks necessary details. Conciseness should not come at the expense of completeness; this is too brief to be useful.

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 complexity (nested object parameter, no annotations, no output schema details visible), the description is severely incomplete. It fails to explain the validation process, expected input format, or how to interpret results.

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 single parameter data_source_config has no schema description (0% coverage). The tool description does not explain what this parameter should contain, its structure, or any constraints, leaving the agent with no semantic guidance.

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

Purpose4/5

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

The description clearly states the action (validate) and the resource (data source configuration). However, it does not differentiate this tool from sibling validation tools like validate_kafka_connector or validate_sync_config, missing a higher score.

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 on when to use this tool versus alternatives. The description lacks any context about prerequisites, typical use cases, or exclusions.

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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