Skip to main content
Glama
pascalhubacher

Jira Cloud MCP Server

update_comment

Update an existing comment on a Jira issue by providing issue key, comment ID, and new body text. Controls user notifications and screen security overrides.

Instructions

Update comment

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe ID of the comment.
bodyYesRequest body (JSON object)
expandNoUse [expand](#expansion) to include additional information about comments in the response. This parameter accepts `rende
notifyUsersNoWhether users are notified when a comment is updated.
issueIdOrKeyYesThe ID or key of the issue.
overrideEditableFlagNoWhether screen security is overridden to enable uneditable fields to be edited. Available to Connect app users with the

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

D1.9/5.0
Behavior1/5

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 behavioral disclosure. It discloses nothing: no permission requirements, no side effects like notifications, no mention that existing content is replaced, and no indication of what the response contains.

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

Conciseness2/5

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

The description is short but it is under-specified rather than efficiently concise. For a tool with six parameters and a nested request body, a two-word restatement of the tool name does not earn its place as a meaningful description.

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?

The tool has six parameters, a nested body object, no output schema, and no annotations. A single phrase 'Update comment' provides essentially no operational context. An agent would have to infer even the basic workflow of locating an issue and replacing its comment body.

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 the schema already documents all parameters. The description adds no parameter semantics, but it does not need to compensate for schema gaps. Baseline 3 is appropriate.

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

Purpose2/5

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

The description is 'Update comment', which simply restates the tool name. It does identify the verb and resource, but it provides no additional context such as the issue association, the required body field, or how this differs from add_comment/get_comment beyond the name.

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?

There is no guidance on when to use this tool versus alternatives. Sibling tools like add_comment, get_comment, get_comments, and delete_comment exist, but the description gives no conditions, prerequisites, or exclusions to help an agent choose correctly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/pascalhubacher/jira'

If you have feedback or need assistance with the MCP directory API, please join our Discord server