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taiga_userstories_bulk_update_kanban_order

Bulk update kanban order of multiple user stories in Taiga using story ID and order pairs.

Instructions

Bulk update kanban order of user stories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID
bulk_storiesYesArray of [us_id, order] pairs
Behavior2/5

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

With no annotations provided, the description carries full responsibility for disclosing behavioral traits. It only states the action ('bulk update') without mentioning side effects, required permissions, whether the operation replaces existing order or merges, or any error conditions. This is a significant gap for a mutating operation.

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 concise sentence ('Bulk update kanban order of user stories.') that front-loads the key information with no filler. Every word adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although the tool is relatively simple, the description is too terse to be fully complete. It does not explain what 'kanban order' means in this context (e.g., absolute vs. relative ordering, ordering within columns), what the response format looks like, or any prerequisites. With no annotations and no output schema, this leaves the agent without enough information to invoke the tool confidently.

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%: project_id is labeled 'Project ID' and bulk_stories is described as 'Array of [us_id, order] pairs', which already conveys the structure and meaning. The description adds no additional parameter details, 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 ('bulk update'), names the resource ('user stories'), and identifies the exact scope ('kanban order'), distinguishing it from sibling tools that update backlog or sprint order. It is unambiguous about what operation is performed.

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 when to use it (when bulk reordering user stories in the kanban board) but provides no explicit guidance on when not to use it or how it differs from the closely related bulk_update_backlog_order and bulk_update_sprint_order tools. The context is clear but no alternatives are mentioned.

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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