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list_cycle_work_items

List all work items tied to a specific cycle. Provide the cycle ID to retrieve them; optionally include a project ID to narrow results.

Instructions

List the work items assigned to a cycle.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cycle_idYes
project_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 disclosing behavioral traits. It only states the basic action and does not reveal whether the operation is read-only, how it handles pagination, whether it requires specific permissions, or what happens when project_id is omitted. This lack of detail leaves significant uncertainty for an AI agent.

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 starts with the action verb and clearly states the object. It is free of unnecessary words or filler, making it highly concise and well-structured for quick parsing.

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?

Given the tool has sibling tools with similar list functionality, the description is too sparse to be contextually complete. It lacks usage guidelines and parameter details, making it insufficient for an AI agent to understand when and how to invoke it correctly, despite the presence of an output schema.

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

Parameters1/5

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

With 0% schema description coverage, the description must compensate by explaining parameters, but it does not mention cycle_id or project_id at all. The agent only has the parameter names to infer meaning, and the optional project_id is not explained. No guidance is given on how these parameters affect the query.

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 (work items), and the specific scope (assigned to a cycle). This distinguishes it from sibling tools like list_work_items, which likely lists all work items without cycle filtering. The verb and resource are explicit and unambiguous.

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 the tool should be used when needing work items for a specific cycle, but it provides no explicit guidance on when to choose this over list_work_items or search_work_items. No alternatives or exclusions are mentioned, leaving the agent to infer usage from the tool name and scope.

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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