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list_trackers

Retrieve available trackers to categorize and organize issues within the Redmine project management system.

Instructions

Returns a list of available trackers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The actual implementation of the list_trackers method which queries the Redmine API via the redminelib client.
    def list_trackers(self) -> List[Dict[str, Any]]:
        try:
            return [
                {"id": t.id, "name": t.name}
                for t in self._redmine.tracker.all()
            ]
        except Exception as e:
            raise RedmineError(f"list_trackers failed: {e}") from e
  • MCP tool registration and wrapper for list_trackers, which invokes the RedmineClient implementation.
    @mcp.tool()
    def list_trackers() -> List[Dict[str, Any]]:
        """Returns a list of available trackers."""
        logger.info("tool=list_trackers")
        try:
            return _client().list_trackers()
        except RedmineError as e:
            logger.error(f"list_trackers error: {e}")
            raise
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 what the tool returns, without mentioning any behavioral traits like pagination, sorting, filtering capabilities, authentication requirements, rate limits, or whether it's a read-only operation. This leaves significant gaps in understanding how the tool behaves in practice.

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, clear sentence with zero wasted words. It's front-loaded with the core purpose and appropriately sized for a simple list tool. Every part of the sentence earns its place by conveying essential information without redundancy.

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?

Given the tool's simplicity (0 parameters, output schema exists), the description is minimally adequate but incomplete. It states what is returned but doesn't provide context about what 'trackers' are in this system (e.g., issue trackers, project trackers) or how this fits with sibling tools. The output schema will handle return values, but the description could better integrate with the broader toolset.

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 has zero parameters, and schema description coverage is 100% (though empty). The description doesn't need to explain parameters, and it correctly doesn't mention any. Since there are no parameters to document, this earns a high baseline score, as the description doesn't create confusion about nonexistent inputs.

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

Purpose4/5

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

The description clearly states the tool's purpose with a specific verb ('Returns') and resource ('list of available trackers'), making it immediately understandable. However, it doesn't differentiate this tool from its sibling list tools (like list_issues, list_projects, list_users), which all follow the same 'list [resource]' pattern, preventing a perfect score.

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. With sibling tools like list_issues and list_projects available, there's no indication of whether this is for general tracking metadata, specific project contexts, or other use cases. It lacks any when/when-not statements or references to related tools.

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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