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delimit_data_validate

Catch data corruption early by validating JSON parsing, CSV shape, and SQLite integrity before relying on files in pipelines or migrations.

Instructions

Validate data files: JSON parse, CSV shape, SQLite integrity.

When to use: as a smoke check before relying on data files (CI pipelines, before migrations) to catch corruption early. When NOT to use: for migration status (use delimit_data_migrate) or backups (delimit_data_backup).

Sibling contrast: delimit_data_migrate inspects migration files; this exercises the data files themselves.

Side effects: read-only on the target. Calls backends.tools_data.data_validate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNoDirectory or file path with data files. Default "." (cwd)..

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries full burden. It discloses 'Side effects: read-only on the target' and mentions the backend call, addressing the key behavioral trait. Output schema covers return values.

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?

Extremely concise: 3 sentence blocks covering purpose, usage guidelines, sibling contrast, and side effects. No filler.

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

Completeness5/5

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

Given one optional parameter, no required fields, and presence of output schema, description fully covers purpose, when/how to use, and read-only behavior. Complete for this tool's complexity.

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?

Input schema covers the single parameter with description and default. Description adds context ('Directory or file path') but doesn't add meaning beyond schema. Baseline 3 due to 100% schema coverage.

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?

Description clearly states 'Validate data files: JSON parse, CSV shape, SQLite integrity.' It specifies the resource (data files) and actions (validate, parse, check integrity), distinguishing from siblings like delimit_data_migrate.

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

Usage Guidelines5/5

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

Explicitly provides 'When to use' (smoke check before relying on data files) and 'When NOT to use' (for migration status or backups), naming alternatives delimit_data_migrate and delimit_data_backup.

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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