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add_issue_comment

Add a new comment/response to an issue thread. AI MUST call this tool to write a descriptive comment explaining what was fixed or changed whenever they finish fixing or addressing an issue.

Input Schema

NameRequiredDescriptionDefault
contentYesComment text content
issueSlugIdYesThe slug ID of the Issue (e.g. 'ISS-xxxxxx')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
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 behavioral burden. It says the tool adds a comment and mandates post-fix use, but it does not disclose permissions/auth needs, notification side effects, whether the issue must be open, or what the call returns.

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, front-loaded with the action and followed by the trigger. Every sentence adds useful routing or workflow information, with no filler.

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

Completeness4/5

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

For a simple two-parameter comment-creation tool with no output schema or annotations, the description is mostly complete: it covers the action and when to call it. Minor gaps remain around return confirmation and any constraints on commenting on closed issues.

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 both parameters are already documented in the input schema. The description adds no extra parameter semantics such as content formatting or slug-id validation beyond what the schema provides.

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 gives a specific verb and resource: 'Add a new comment/response to an issue thread.' That is clear enough to distinguish it from issue tools like resolve_issue or get_issue, though it does not explicitly name or contrast those siblings.

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

Usage Guidelines4/5

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

It clearly states the trigger for use: call this whenever finishing or addressing an issue, with a descriptive comment about what changed. It gives no exclusions or explicit alternatives such as resolve_issue, so it falls short of a full when/when-not treatment.

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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