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AsobaCloud

odse-mcp

by AsobaCloud

ValidateODSERecord

Validate a JSON array of ODS-E records against the ODS-E schema to identify compliance issues in OEM energy telemetry data.

Instructions

Validate a JSON array of ODS-E records using odse.validate_batch (package semantics).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelNoodse validation level (default: schema)
recordsYesJSON array of ODS-E record objects
timeoutNoTimeout in ms (max 600000)
Behavior2/5

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

No annotations are provided, and the description only mentions 'package semantics' without detailing error behavior, side effects, or permissions. It does not disclose what happens on invalid records or the return format.

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

Conciseness5/5

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

The description is a single, focused sentence that uses the imperative verb and is easy to parse. No filler.

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

Completeness2/5

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

For a validation tool with no output schema and no annotations, the description omits expected return values and error semantics. It is a superficial overview rather than a complete spec.

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 fully describes all parameters, so the description adds little beyond the schema. The mention of batch validation is mildly informative but does not clarify parameter-specific behavior.

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 action (validate) and the resource (JSON array of ODS-E records), and references the underlying package for semantics. It is distinct from sibling tools that convert or list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus the siblings. It implies a validation use case but lacks guidance on prerequisites, alternatives, or conditions.

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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