Check your records for data quality issues

Paste spreadsheet rows or record details for a data quality check. The assistant will prepare the records for the check.

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View instructions

Use data-quality-check-strale with the records the user provides. Accept pasted spreadsheet rows or clear record details and prepare them for the check without changing their values. If column names or row meanings are unclear, ask in plain language before continuing. If the user requests a specific check, include it only when a supported rule format is documented; never invent rule structures. If the format cannot be confirmed, explain simply and ask whether to continue without that extra check. Reuse the user’s Toolmu connection or follow https://toolmu.com/SKILL.md, then check current availability and price and stay within the authorized budget. Explain only the returned assessment, preserving any score scale and reported column issues when supplied. Do not claim every issue was found or that records were corrected.

Task:
Check these records for data quality issues: [paste spreadsheet rows or record details here]. If you need to know what a column means, ask me first. Explain only what the check returns; do not change my records.

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Connection guide

Up to 0.028512 credits / call

The final charge is based on confirmed usage. Unused reserved credits return to your available balance.

Strale

Check your records for data quality issues

Paste spreadsheet rows or record details for a data quality check. The assistant will prepare the records for the check.

You receive

The check may return a score and specific issues. If the result names affected columns, the assistant can group those details to help you review them.

Start with your task

Check these records for data quality issues: [paste spreadsheet rows or record details here]. If you need to know what a column means, ask me first. Explain only what the check returns; do not change my records.

What to know

A score does not guarantee that the records are complete or correct, and the check may not find every issue. Reported findings do not mean your records were changed.

Inputs & outputs

Inspect the current inputs, availability, and maximum charge before starting.

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
queryParams`queryParams`	`object`	Required	Required fields `data`
JSON records to check`queryParams.data`	`array`	Required	Required array, described as a JSON array of objects. Pass the records you want assessed as an array rather than a JSON text string. The definition supplies no item schema or row-count limit.
Validation rules`queryParams.rules`	`array`	Optional	Optional array of validation rules. The input definition does not specify the structure of each rule or a default rule list. Include your supplied rule array if you want it used; do not infer rule syntax from this array type.

View raw JSON

{
  "type": "object",
  "required": [
    "queryParams"
  ],
  "properties": {
    "queryParams": {
      "type": "object",
      "required": [
        "data"
      ],
      "properties": {
        "data": {
          "type": "array",
          "description": "JSON array of objects."
        },
        "rules": {
          "type": "array",
          "description": "Optional validation rules."
        }
      }
    }
  },
  "additionalProperties": false
}

Result schema

Output fields have not been documented yet.

Additional notes

Input reference

View the input definition for this Tool.

Check your records for data quality issues

Check your records for data quality issues

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Input reference

Paste the records

Describe any extra check

Review the results