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Get team inbox

inbox
Read-only

Requests across every client of your company, for staff.

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": {
      "view": "<view>"
    },
    "name": "inbox"
  }
}

Input Schema

NameRequiredDescriptionDefault
viewYesWhich requests to show.
clientsNomine: clients whose account team you're on, plus anything assigned to you. Default all. Doesn't apply to view mine.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
Behavior2/5

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 adds only a scope hint ('across every client... for staff') and says nothing about ordering, pagination, result volume, or how the implicit company-wide scope interacts with the view filter.

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

Conciseness3/5

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

A single short sentence with no waste, but it errs toward under-specification rather than conciseness — the space saved is spent on none of the disambiguation the sibling set requires.

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

Completeness2/5

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

For a read tool sitting among many overlapping retrieval siblings (list_requests, get_my_work, team_load, list_recurring_requests), the description should clarify what makes this inbox distinct. It does not, leaving the agent to guess from the name.

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?

Schema description coverage is 100% and both parameters are enums with documented values, including a detailed explanation of 'clients'. The description adds no parameter meaning beyond that, so the baseline 3 applies.

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

Purpose3/5

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

The description identifies the resource ('requests across every client of your company') and audience ('for staff'), but it is a noun phrase with no verb and never states that this retrieves or lists an inbox. It does not distinguish the tool from close siblings like list_requests or get_my_work.

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

Usage Guidelines2/5

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

'For staff' hints at the intended audience but gives no when-to-use guidance, no exclusions, and no routing to alternatives such as list_requests or get_my_work. An agent must infer selection from the tool name alone.

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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