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Support: list tickets

ticket_list
Read-only

The support desk's tickets (help desk / support mail), newest activity first, at most 20: number, subject, status, priority, assignee, who wrote (name, e-mail), whether it waits for OUR reply, the deadline, and the last message (who, when, a short excerpt). Answers «які тікети відкриті», «що нового в підтримці», «хто чекає відповіді», «тікети на мені». 'search' matches the number, subject or the client's name / e-mail; status 'active' (default: open, pending, on hold), 'open', 'pending', 'on_hold', 'solved', 'closed' or 'any'; mine=true → assigned to me; awaiting_reply=true → the client is waiting for us. Read-only.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "ticket_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
mineNo
limitNo
searchNo
statusNo
awaiting_replyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/openWorldHint/destructiveHint, and the description still adds real behavior: newest-activity-first ordering, a hard cap of 20 results, and the default status filter. It does not mention pagination or what happens when more than 20 tickets match, which is the one behavioral gap.

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?

Scope, ordering, and cap come first, followed by return fields and then filter semantics — a sensible front-loaded order with no filler. The returned-field enumeration is dense but each item tells the agent what's filterable or reportable.

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

Completeness5/5

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

With no output schema, the description compensates by listing all returned fields, and it fully covers all five optional parameters and their defaults. An agent can call this tool correctly and interpret the response from the description alone.

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 description coverage is 0%, so the description carries the load and largely does: it explains what 'search' matches (number, subject, client name/e-mail), enumerates every status value with its default, defines mine=true and awaiting_reply=true. Only 'limit' lacks direct explanation — the 'at most 20' cap implies the ceiling but doesn't state that limit controls it.

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 opens with a specific resource and operation ('The support desk's tickets… newest activity first, at most 20') and enumerates the returned fields, so an agent knows exactly what it gets back. It never names the sibling ticket_get, so the boundary between listing and fetching a single ticket is left implicit rather than stated.

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

Usage Guidelines5/5

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

It supplies concrete user questions the tool answers ('які тікети відкриті', 'хто чекає відповіді', 'тікети на мені') and maps each to the relevant filter, plus the explicit default status of 'active' = open/pending/on hold. That is explicit when-to-use guidance rather than inference.

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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