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Yandex Tracker MCP

Get Queue Metadata

queue_get_metadata
Read-only

Get detailed metadata for a Yandex Tracker queue, including name, description, default type/priority, and optional expanded data like issue types with resolutions, workflows, and team members.

Instructions

Get detailed metadata about a specific Yandex Tracker queue. Returns queue information including name, description, default type/priority, and optionally expanded data like issue types with their resolutions, workflows, team members, etc. Use expand=['issueTypesConfig'] to get available resolutions for issue_close tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queue_idYesQueue (Project ID) to search in, like 'SOMEPROJECT'
expandNoOptional list of fields to expand in the response. Available options: 'all', 'projects', 'components', 'versions', 'types', 'team', 'workflows', 'fields', 'issueTypesConfig'. Use 'issueTypesConfig' to get available resolutions for each issue type.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
keyNo
nameNo
descriptionNo
defaultTypeNo
defaultPriorityNo
issueTypesConfigNo
Behavior4/5

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

Annotations declare readOnlyHint=true. Description adds that it returns optional expanded data. No contradictions; adequate behavioral context beyond annotations.

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?

Two sentences, each essential. Front-loaded with action and scope. No redundant information.

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?

Output schema exists, so return value details are not required. Description covers core behavior and optional expansions. Slightly generic on what 'metadata' includes but sufficient.

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 covers 100% of parameters. Description adds meaning: 'queue_id' explained as 'Queue (Project ID)' with example, and 'expand' tied to resolution retrieval for issue_close.

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 uses a specific verb-resource pair ('Get metadata about a queue') and lists returned fields. It distinguishes from sibling tools like queue_get_fields or queue_get_versions by focusing on overall metadata.

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

Usage Guidelines4/5

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

Provides explicit guidance on using expand=['issueTypesConfig'] to support issue_close tool. Lacks explicit exclusions but the context is clear enough for selection.

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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