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get_comments

Retrieve a Jira issue's comment thread as Markdown, including author, timestamp, edit status, and visibility restrictions. Use when only the discussion is needed, not the full ticket body.

Instructions

Get only the comment thread of a Jira issue, as Markdown.

Each comment includes author, timestamp, whether it was edited, and any visibility restriction. Use this instead of get_issue when the ticket body is already known and only the discussion is needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of comments to return (1-100).
issue_keyYesJira issue key like "PROJ-123".
newest_firstNoSet True to get the most recent comments first — useful for long threads where only the latest state matters.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It discloses the output format (Markdown), the fields included (author, timestamp, edited, visibility restriction), and the scoping (only comments, not the issue body). Lacks mention of pagination or errors, but that's minor for a read 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?

Two sentences with zero waste. The first sentence front-loads the action and format, the second adds detail and usage guidance. Every word earns its place.

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

Completeness5/5

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

Given that input parameters are fully documented and an output schema exists, the description supplies the missing context: purpose, format, and when to use it. Nothing critical an agent needs to call it correctly is omitted.

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%, so all parameters are already documented. The description adds no extra semantic meaning beyond the schema; it even reinforces the 'comment thread' concept but doesn't clarify parameter usage further. Baseline 3 is appropriate.

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 states a specific verb ('Get'), a precise resource ('comment thread of a Jira issue'), and the output format ('as Markdown'). It explicitly differentiates from the sibling get_issue, making the tool's scope immediately clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use guidance: 'Use this instead of get_issue when the ticket body is already known and only the discussion is needed.' This names the alternative and the condition, leaving no ambiguity about tool selection.

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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