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team_workload

Assess team workload: report open tasks per assignee, flag overloaded members and unassigned work, and receive a rule-based verdict on project health.

Instructions

Report who is over- or under-loaded, in one call.

Composes the open project.task records in scope into a per-assignee load (open count plus overdue / due-soon / high-priority / no-deadline tallies), flags overloaded members and unassigned work, and returns a rule-based verdict. Done tasks carry no current load and are excluded.

Args: project: Optional project-name filter (ilike). sprint_id: Optional sprint filter (project.task sprint_id). exclude_stages: Stage names dropped from scope. Default ["Cancelled"]. done_stages: Stage names treated as completed. Default ["Done", "Delivered"]. lookahead_days: Days ahead that count as "due soon" (default 7). overload_threshold: Open-task count above which a member is flagged "overloaded" (default 8). Sign-off point with the workflow owner. timezone_offset: UTC offset for "today" (default 7 = Asia/Ho_Chi_Minh). subtasks_only: Count only subtasks (parent_id != False), the team's unit of work. Default True.

Note: sprint_id is a custom field, not standard Odoo; the tool degrades with a clear error when absent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNo
sprint_idNo
done_stagesNo
subtasks_onlyNo
exclude_stagesNo
lookahead_daysNo
timezone_offsetNo
overload_thresholdNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description fully handles transparency. It details the filtering logic, load calculation, exclusion of done tasks, and the note about sprint_id degradation. However, it does not explicitly state whether the tool is read-only or has side effects, though the context suggests it's a report.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a summary paragraph, parameter list, and a caveat note. It front-loads the purpose. Slightly verbose but still efficient.

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?

Given the tool has 8 parameters, no annotations, and an output schema exists, the description covers behavior, parameters, and edge cases (sprint_id note). It is complete enough for an agent to use correctly.

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?

The schema has 0% description coverage, but the description provides detailed explanations for all 8 parameters, including defaults and behavior (e.g., 'subtasks_only: Count only subtasks... Default True'). This adds significant meaning beyond the schema.

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 starts with 'Report who is over- or under-loaded, in one call,' which is a clear, specific verb+resource statement. It further explains the composition of workload metrics, making the purpose unambiguous and distinct from sibling tools.

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

Usage Guidelines3/5

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

The description implicitly indicates when to use (for workload analysis) but does not explicitly state when not to use or provide alternative tools. Given the sibling list includes generic CRUD and other reporting tools, some usage guidance would help, but the purpose is clear enough.

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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