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ya-tracker-mcp

ya-tracker-mcp

by imdeniil
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

list_resolutions

Retrieve all issue resolutions in your organization. Use this to see available resolution statuses for tracking and reporting.

Instructions

List all issue resolutions 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_resolutions"
  }
}

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

B3.3/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention caching behavior, output format implications, pagination, permissions, or response details. The schema includes use_cache and output_format, but the description adds no context about their effects.

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 sentence that is clear and to the point, with no unnecessary words. It is appropriately sized for a simple list operation.

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?

The tool is simple with two well-documented parameters and an output schema. The description covers the core function, but lacks details about behavioral aspects like caching and output format effects. It is adequate but leaves some gaps for an agent to infer.

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?

Schema description coverage is 100% for both parameters, with use_cache and output_format having explicit descriptions and defaults. The description adds no additional meaning beyond the schema, so the baseline of 3 applies.

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 'List' with a clear resource 'issue resolutions' and scope 'in the organization'. This clearly distinguishes it from sibling tools like list_issue_types or list_statuses by naming the specific entity.

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. It does not mention any exclusions, alternatives, or intended use cases beyond the basic action.

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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