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get_employee_dsrs

Retrieve daily status report details—including project, hours, and description—for any employee by their numeric ID. Useful for reviewing work history before writing status reports.

Instructions

Get the full DSR content (project, hours, description) for any employee by their ID. Use get_employee_details(name) first to find the numeric employee_id from the staff directory. For your own DSRs, use employee_id='4907'. Returns project name, hours logged, and description text per day. Useful for reviewing what you or a team member worked on before writing a status report.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
employee_idYesNumeric employee ID. Your own ID is 4907. Find others via get_employee_details(). Example: '4907'.
dateNoOptional date filter in YYYY-MM-DD format to see DSRs for a single day. Leave empty for full history. Example: '2026-06-16'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It discloses the returned fields (project, hours, description per day) and that date is optional, but does not mention access restrictions, rate limits, or any behavioral side effects.

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?

Three concise sentences front-load the core purpose and function. No redundant or vague wording; every sentence adds value.

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

Completeness4/5

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

With an output schema present, the description adequately covers what the tool returns and usage flow. Could be improved by mentioning the sibling get_my_dsrs for personal DSRs to avoid confusion.

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?

Schema coverage is 100% with detailed parameter descriptions. The description adds meaningful context: employee_id is numeric, own ID is 4907, and date expects YYYY-MM-DD format with empty for full history. This goes beyond the schema's default descriptions.

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 it retrieves full DSR content (project, hours, description) for any employee by ID. It distinguishes from siblings like get_my_dsrs by indicating that it can be used for any employee, including oneself via employee_id='4907'.

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

Usage Guidelines4/5

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

Provides explicit guidance: use get_employee_details first to find the numeric ID, and for own DSRs use employee_id='4907'. Mentions usefulness for status report preparation. However, does not explicitly advise against using this if get_my_dsrs is available for personal DSRs.

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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