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ya-tracker-mcp

ya-tracker-mcp

by imdeniil
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

list_statuses

List all issue statuses in a Yandex Tracker organization to see available workflow states. Choose between text or JSON output for flexible use.

Instructions

List all issue statuses in the organization.

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": "list_statuses"
  }
}

Input Schema

NameRequiredDescriptionDefault
use_cacheNoWhether to use local cache (default: True)
output_formatNoResponse format: "text" (default, markdown) or "json"text

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.8.2

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that it lists statuses, but does not mention caching behavior, output format, or any side effects, leaving uncertainties about freshness and response structure.

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, well-structured sentence that is immediately informative. It wastes no words and front-loads the core purpose.

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?

Given the simplicity of the tool, the existence of an output schema, and full parameter descriptions, the description is sufficient for basic understanding. However, it could provide a bit more context about default caching or when to use the JSON output format.

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?

The input schema already provides complete descriptions for both parameters (use_cache and output_format), achieving 100% coverage. The tool description adds no additional meaning beyond what the schema provides, so the baseline score of 3 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 clearly states the action (list), the resource (issue statuses), and the scope (organization). It is concise and easily distinguishes from sibling tools like list_issue_types or list_priorities.

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?

The description provides no guidance on when to use this tool versus alternatives, such as list_issue_types or list_resolutions. It merely states what it does, leaving the agent to infer the use case.

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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