Skip to main content
Glama

Get Issue Images

jira_get_issue_images
Read-only

Retrieves image attachments from a Jira issue and returns them as base64-encoded inline content for direct rendering by AI vision models.

Instructions

Get all images attached to a Jira issue as inline image content.

Filters attachments to images only (PNG, JPEG, GIF, WebP, SVG, BMP) and returns them as base64-encoded ImageContent that clients can render directly. Non-image attachments are excluded.

Files with ambiguous MIME types (application/octet-stream) are detected by filename extension as a fallback. Images larger than 50 MB are skipped with an error entry in the summary.

Args: ctx: The FastMCP context. issue_key: Jira issue key.

Returns: A list with a text summary followed by one ImageContent per successfully downloaded image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issue_keyYesJira issue key (e.g., 'PROJ-123'). Returns image attachments as inline ImageContent for LLM vision.
Behavior5/5

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

Describes filtering to image types, fallback via filename extension, 50 MB size limit, and return format as text summary + ImageContent. Adds value beyond readOnlyHint annotation.

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?

Concise, well-structured with clear sections for Args and Returns. Every sentence adds value without redundancy.

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?

Fully covers behavior for a single-parameter tool: filtering, fallback, size limit, and return format. No output schema needed given clear description.

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 already covers issue_key with description (100% coverage). Description reuses but doesn't add new semantic details beyond the schema.

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?

Clearly states 'Get all images attached to a Jira issue as inline image content' with specific verb and resource. Distinguishes from siblings like jira_get_issue and jira_download_attachments by focusing on images as inline content.

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

Usage Guidelines3/5

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

Implies usage for retrieving images only, but does not explicitly compare to jira_download_attachments or state when not to use. Lacks explicit guidance on alternatives.

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

Install Server

Other Tools

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/GeiserX/atlassian-browser-mcp'

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