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validate_metadata

Validate a metadata TSV file against a Gigwa database, checking column headers and entity references without importing.

Instructions

Validate an individual-metadata file against a Gigwa database without importing.

metadata_type is the name of the ID column in the file that links rows to genotype entities — for individual metadata this is the individual column (the header must match exactly, case-sensitive). tsv_path is a TSV whose first column header equals metadata_type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
moduleYesTarget Gigwa database (module) name.
tsv_pathYesPath to the metadata TSV file.
metadata_typeNoMetadata entity type / id-column name (default 'individual').individual

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden. It does not disclose what happens on validation failure, output format, or side effects, lacking 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.

Conciseness4/5

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

The description is relatively concise (two sentences) but the second sentence is a bit run-on. It efficiently conveys necessary information without excessive length.

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

Completeness3/5

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

While the description explains parameters and core action, it lacks usage guidelines and behavioral details, making it somewhat incomplete despite presence of output schema.

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

Parameters4/5

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

The description adds concrete details beyond the schema, e.g., explaining metadata_type as the ID column name and that tsv_path's first column header must match. This enriches parameter understanding.

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 specific verb and resource: 'Validate an individual-metadata file against a Gigwa database without importing.' This distinguishes it from sibling tools like import_metadata.

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 implies usage before import ('without importing') but does not provide explicit guidance on when to use this tool versus alternatives like audit_import_quality.

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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