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Get team workload

team_load
Read-only

Everyone on a company's team with how many open requests they have, hours logged this month (when the company tracks time), what they do, and when they're back if away. Use it to spot who's overloaded and to rebalance.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "orgId": "<orgId>"
    },
    "name": "team_load"
  }
}

Input Schema

NameRequiredDescriptionDefault
orgIdYesCompany ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description usefully adds that hours-logged data is conditional ('when the company tracks time') and that away status includes a return date, but with no output schema it says nothing about ordering, size limits, or what the payload actually looks like beyond the field list.

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?

Two sentences: the first front-loads what is returned, the second states the purpose. There is no filler, though the first sentence is a dense chained list that takes a moment to parse.

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?

For a single-parameter, read-only, non-open-world tool the description covers the essentials by describing return content, including the conditional time-tracking note. Missing only secondary details like result ordering or maximum team size, which are low-stakes here.

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

Parameters3/5

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

There is a single required parameter, orgId, and schema coverage is 100% with the schema already describing it as 'Company ID.' The description adds no extra meaning such as where to obtain the orgId or how it relates to workspace or team scoping, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (everyone on a company's team) and enumerates the specific fields returned: open request counts, hours logged this month, role/what they do, and away/return status. That is far more specific than the title, and the workload framing distinguishes it from a plain roster tool like list_company_people, though it never names such a sibling explicitly.

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 closing sentence gives a genuine use case ('spot who's overloaded and to rebalance'), which is more than most definitions offer. However there is no when-not guidance and no explicit routing to alternatives such as suggest_assignee or get_my_work for the closely related task of deciding who should take work.

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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