Yandex Tracker MCP

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Get Global Fields

get_global_fields

Read-only

List all global fields configured in the connected Yandex Tracker organization. Use this to retrieve available custom and system fields for display in issue forms.

Instructions

Get all global fields available in Yandex Tracker that can be used in issues

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": "get_global_fields"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed3 schema fields changedv0.6.3May 12, 2026
- addedOutput schema / $defs / OptionsProvider / additionalProperties
```
Added value: +true
```
- addedOutput schema / $defs / QueryProvider / additionalProperties
```
Added value: +true
```
- addedOutput schema / $defs / SuggestProvider / additionalProperties
```
Added value: +true
```
First observedv1.0.0Aug 15, 2025

TDQS

A4.3/5.0

Behavior4/5

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

The readOnlyHint annotation already covers the read-only nature. The description adds context that the returned fields are global and usable in issues, which is useful. However, it does not describe pagination, ordering, or other behavioral details, though these are less critical for a simple list endpoint.

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

Conciseness5/5

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

The description is a single, front-loaded sentence without any fluff. Every word contributes to conveying the tool's purpose.

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?

Given the zero-parameter, read-only nature and the presence of an output schema, the description fully covers the tool's purpose. It clearly explains what the tool returns and its scope, with no missing critical information.

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?

With zero parameters, the schema is fully covered. The description adds no parameter-specific semantics, but none are needed. The tool has no input requirements, so the baseline of 4 is appropriate.

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

Purpose5/5

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

The description states 'Get all global fields available in Yandex Tracker that can be used in issues' with a specific verb, resource, and scope. It clearly distinguishes from sibling tools like queue_get_fields by emphasizing 'global' and 'can be used in issues'.

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 description does not explicitly mention when to use this tool versus alternatives. The word 'global' implies a distinction from queue-specific fields, but no direct comparison or exclusion is provided. Usage context is implied rather than stated.

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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