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support_get_opened_ticket_count

Read-onlyIdempotent

Retrieves the number of currently opened support tickets so an agent can gauge pending support workload before prioritizing or escalating requests.

Instructions

Get opened ticket count GET /support/tickets/count

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": "support_get_opened_ticket_count"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description itself contributes only the endpoint path; it does not clarify the ambiguous scope of 'opened' (all time, current status, per workspace/agent) or what the count represents. With annotations doing the heavy lifting, this is thin but not contradictory.

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 short lines, front-loaded with the action and resource, with no filler. It is efficient though borderline minimal rather than well-structured.

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

Completeness3/5

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

For a trivial zero-parameter read tool with full annotation coverage this is close to adequate, but with no output schema the description never states what the count returns (a bare number, a status breakdown, filtering scope). That gap leaves the agent guessing about the result.

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?

The tool takes no parameters, so there is nothing for the description to disambiguate. Baseline 4 applies for a zero-parameter tool.

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 names a specific resource and metric ('opened ticket count') and adds the HTTP route GET /support/tickets/count. However, it largely restates the tool name and offers no differentiation from siblings such as support_get_list, which presumably also touches tickets. Purpose is clear but adds no discriminating detail.

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?

There is no statement of when to use this count tool versus support_get_list or the other support tools, no prerequisites, and no exclusions. The agent must infer usage entirely from the name.

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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