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submit_dsr

Submit or update a Daily Status Report by logging hours, tasks, and AI tools used for a specific project and date.

Instructions

Submit a Daily Status Report (DSR) for a specific project and date. Always call get_projects() first to get the correct project_id if you don't have it. One DSR per project per day — submitting again for the same project+date will update it. Returns success with the date, hours, and project_id on success, or an error with recovery guidance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesNumeric project ID from get_projects(). Example: '1005' for YourAI LLC, '890' for Flynas.
dateYesDate to log DSR for, in YYYY-MM-DD format. Example: '2026-06-17'. Must be today or a past date.
hoursYesHours worked on this project. Use decimals for half-hours. Example: 8 or 4.5. Must be between 0.5 and 24.
descriptionYesWhat you worked on — tasks completed, progress made, blockers. At least 10 characters. Example: 'Reviewed AI module integration and fixed API timeout issue.'
ai_tools_usedNoWhether you used AI tools (Claude, ChatGPT, Copilot, etc.) today. Use '1' for yes, '0' for no.0

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Describes the return format (success with date, hours, project_id; error with recovery guidance) and idempotent update behavior, fully compensating for absent annotations.

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?

Four sentences, front-loaded with core purpose, no redundant information, efficient and structured.

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?

Covers all aspects: purpose, prerequisites, update semantics, return values, and error handling; complemented by an output schema (not shown) and references to sibling tools.

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

Parameters5/5

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

Schema covers 100% of parameters with detailed descriptions, examples, and constraints; the tool description adds context like the prerequisite get_projects call.

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?

Clearly states the tool submits a Daily Status Report for a specific project and date, distinguishing it from sibling tools like get_my_dsrs (retrieval) and apply_leave (different resource).

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 instructs to call get_projects() first for the project_id and explains the update behavior on duplicate submission, providing clear when-to-use guidance.

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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