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Avicennasis

redmine-mcp-workflows

by Avicennasis

redmine_describe_tracker

Retrieve detailed schema for a Redmine tracker, including available statuses, priorities, and learned workflow transitions between statuses per role.

Instructions

Return an enriched schema for one tracker.

Args: tracker: numeric id or name (e.g. "Bug" or "1"). include_observations: if True (default), include the learned workflow graph (allowed/disallowed transitions per role).

Includes available statuses, priorities, and — when include_observations is true — the learned workflow graph from prior API responses. Workflow knowledge is reactive: Redmine does not expose /workflows via REST, so the cache learns by observing the outcome of every status-change attempt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trackerYes
include_observationsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It explains the reactive learning of workflow graph from prior API calls, a key behavioral trait. No side effects or idempotency mentioned, but adequate for a read-like operation.

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

Conciseness4/5

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

Description is reasonably concise with front-loaded purpose. The explanation of reactive learning adds value but could be slightly trimmed. Overall efficient.

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 output schema exists, description doesn't need to detail return format. It covers tracked info components and learning mechanism. Some aspects like availability of statuses/priorities being static vs learned are implied but not explicit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but description fully explains both parameters: tracker with example format and include_observations with default and effect. Adds meaning beyond schema by describing the learned workflow graph context.

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 tool returns an 'enriched schema' for one specific tracker, distinguishing it from sibling tools like redmine_list_trackers. It specifies the content: available statuses, priorities, and optional workflow graph.

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 implies use for detailed tracker info but does not explicitly contrast with siblings or provide when-not-to-use guidance. No mention of alternatives like redmine_list_trackers for summary.

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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