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Backlog MCP Server

get_issue_comments

Retrieve all comments for a specific issue using its ID or key, with optional filtering by comment ID range, count, and sort order.

Instructions

Returns list of comments for an issue

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issueIdNoThe numeric ID of the issue (e.g., 12345)
issueKeyNoThe key of the issue (e.g., 'PROJ-123')
minIdNoMinimum comment ID
maxIdNoMaximum comment ID
countNoNumber of comments to retrieve
orderNoSort order
organizationNoOptional organization name. Use list_organizations to inspect available organizations.
Behavior1/5

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

With no annotations, the description should disclose behavioral traits (e.g., read-only, authentication needs). It only states the return type, lacking details about side effects or requirements.

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

Conciseness3/5

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

The description is a single sentence, concise but omits important context such as parameter interplay or result format.

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

Completeness1/5

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

Given no output schema and multiple parameters (some optional), the description is insufficient. It does not explain how to use optional filtering parameters or the relationship between issueId and issueKey.

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?

All 7 parameters are well-described in the schema (100% coverage). The description adds no additional semantic meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns a list of comments for an issue, distinguishing it from sibling tools like add_issue_comment and get_issue. However, it could be more specific about the optional filtering parameters.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like get_issue or add_issue_comment. The agent must infer from the name 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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