Get issue
get_issueRetrieve detailed information about Backlog issues using their ID or key to access project data and track progress.
Instructions
Get Backlog issue details.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| issueIdOrKey | Yes |
get_issueRetrieve detailed information about Backlog issues using their ID or key to access project data and track progress.
Get Backlog issue details.
| Name | Required | Description | Default |
|---|---|---|---|
| issueIdOrKey | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but offers minimal behavioral insight. It implies a read-only operation ('Get'), but doesn't disclose error conditions, rate limits, authentication requirements, or what happens with invalid issue IDs. The description adds little beyond the basic action, leaving key behavioral traits unspecified.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with just four words, front-loaded with the core action. There's no wasted language or redundancy, making it easy to parse quickly, though this brevity contributes to gaps in other dimensions.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (1 parameter, no output schema, no annotations), the description is incomplete. It doesn't explain the return value, error handling, or parameter semantics. For a basic read tool, more context about what 'details' includes would help the agent use it effectively without trial and error.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate but fails to do so. It doesn't explain what 'issueIdOrKey' represents, its format, or examples. The parameter is entirely undocumented in both schema and description, leaving the agent guessing about valid inputs.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Get Backlog issue details' clearly indicates a read operation on a specific resource (Backlog issue), but it's somewhat vague about what 'details' encompasses. It distinguishes from siblings like list_issues (which lists multiple issues) but doesn't specify what distinguishes it from get_issue_comments or get_pull_request beyond the resource type.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 doesn't mention prerequisites like authentication, when to use get_issue_comments instead for comments, or how it differs from list_issues for bulk retrieval. The agent must infer usage from the name and context alone.
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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