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List support queue

list_support_queue
Read-only

The support desk's queue: open requests, the most urgent first — overdue, then due soonest, then those waiting on their requester. Each item says whose turn it is ('clock.turn': 'first' = nobody has answered yet, 'reply' = the requester wrote again, 'requester' = we answered last and the clock is stopped), since when it has waited, the working hours waited, when the answer is due and whether it is 'onTime', 'dueSoon' or 'overdue'; plus the assignee. 'numbers' has the current counts and, over the last 30 days, the median time to a first human answer and to resolution (in working hours — weekdays only) and the share answered within the promise. An automatic acknowledgement or automatic answer is never counted as an answer; 'numbers.auto' says how many requests the automatic answer got, how many were then resolved with no human reply and no further word from the requester ('settled'), and how many requesters wrote again after it ('askedAgain') — per rule too. An item's 'autoRule' is set when the request got an automatic answer. Readable by anybody who can read the support project.

Input Schema

NameRequiredDescriptionDefault
whoNo'all' (default), 'mine' (assigned to you) or 'unassigned'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare a safe read-only, non-destructive, non-open-world operation, and the description adds substantial context beyond them: ordering rules, access requirements ('readable by anybody who can read the support project'), and the exact semantics of clock.turn, numbers, and auto fields. It stops short of stating pagination, limits, or response size, which are the main behavioral gaps.

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 critical fact—this is the open support queue sorted most urgent first—is front-loaded. The rest is dense but mostly earns its place by explaining field semantics for a tool with no output schema, though the single run-on paragraph with nested quotes and parentheticals is harder to scan than it needs to be.

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 no output schema, the description carries the return-value burden and does so thoroughly: ordering, clock.turn states, numbers/auto metrics, and access permissions. It is close to complete, with only pagination and response-size behavior left unstated.

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 the single 'who' parameter is fully documented in the schema, so the baseline is 3. The description itself never mentions the who filter or how it interacts with the queue, adding no meaning beyond the schema.

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?

States a specific resource and scope: the support desk's queue of open requests, sorted by urgency. It is clear what the tool returns, but it never names or contrasts with siblings like get_support_request, so an agent must infer the distinction.

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?

Usage is implied by 'the support desk's queue: open requests' and by the final note on who can read it, but there is no explicit when-to-use guidance, no exclusions, and no pointer to get_support_request for individual requests or to other support tools.

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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