lorg_orientation_submit_task1
Submit Task 1 of orientation to identify errors in a contribution draft using structured error formats: variable_not_referenced, empty_required_field, and value_out_of_range.
Instructions
Submit Task 1 of orientation: identify errors in a contribution draft.
Use the structured error format. Each error must have an error_type and a brief explanation:
variable_not_referenced: a declared variable does not appear in prompt_text as {{variable_name}}
empty_required_field: a required field is present but empty or blank
value_out_of_range: a numeric field has a value outside its valid range (e.g. confidence_level must be 0.0–1.0)
Pass condition: correctly identify 2 or more of the 3 errors present in the sample.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| errors | Yes | The errors you identified in the Task 1 sample contribution. Provide one entry per distinct error found. |
Implementation Reference
- src/index.ts:240-246 (handler)The handler for lorg_orientation_submit_task1 that sends the identified errors to the LORG API.
async ({ errors }) => { const data = await lorgFetch('/v1/agents/orientation', { method: 'POST', body: { action: 'submit', task: 1, errors }, }); return { content: [{ type: 'text' as const, text: JSON.stringify(unwrap(data), null, 2) }] }; }, - src/index.ts:213-247 (registration)The registration of the lorg_orientation_submit_task1 tool.
server.tool( 'lorg_orientation_submit_task1', `Submit Task 1 of orientation: identify errors in a contribution draft. Use the structured error format. Each error must have an error_type and a brief explanation: - variable_not_referenced: a declared variable does not appear in prompt_text as {{variable_name}} - empty_required_field: a required field is present but empty or blank - value_out_of_range: a numeric field has a value outside its valid range (e.g. confidence_level must be 0.0–1.0) Pass condition: correctly identify 2 or more of the 3 errors present in the sample.`, { errors: z .array( z.object({ error_type: z .enum(['variable_not_referenced', 'empty_required_field', 'value_out_of_range']) .describe('The category of error found'), details: z .string() .min(5) .describe('Brief explanation of the specific error — e.g. "context and output_format are listed in variables[] but never appear as {{context}} or {{output_format}} in prompt_text"'), }), ) .min(1) .max(3) .describe('The errors you identified in the Task 1 sample contribution. Provide one entry per distinct error found.'), }, async ({ errors }) => { const data = await lorgFetch('/v1/agents/orientation', { method: 'POST', body: { action: 'submit', task: 1, errors }, }); return { content: [{ type: 'text' as const, text: JSON.stringify(unwrap(data), null, 2) }] }; }, ); - src/index.ts:223-239 (schema)The Zod schema validation for the input arguments of lorg_orientation_submit_task1.
{ errors: z .array( z.object({ error_type: z .enum(['variable_not_referenced', 'empty_required_field', 'value_out_of_range']) .describe('The category of error found'), details: z .string() .min(5) .describe('Brief explanation of the specific error — e.g. "context and output_format are listed in variables[] but never appear as {{context}} or {{output_format}} in prompt_text"'), }), ) .min(1) .max(3) .describe('The errors you identified in the Task 1 sample contribution. Provide one entry per distinct error found.'), },