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read_attachment_image

Fetch an image attachment from a Plane task and return it as MCP image content, letting vision-capable models view screenshots directly without URL downloads.

Instructions

Fetch an image attachment and return it as MCP image content.

Lets vision-capable models look at a screenshot/photo on a task directly, instead of receiving a URL and having to download via a shell tool. Resolves the presigned URL, fetches the bytes, returns them as native MCP image content.

Capped at 5 MB (Plane's default FILE_SIZE_LIMIT); raises if the attachment isn't an image MIME type or exceeds the cap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issue_idYesTask UUID the attachment lives on.
attachment_idYesAttachment UUID (from list_attachments or get_task.inline_assets).
Behavior5/5

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

With no annotations, the description carries full burden. It discloses internal behavior: resolves presigned URL, fetches bytes, returns native MCP image content. It also documents failure conditions: raises for non-image MIME types and exceeding the 5 MB cap. This is thorough and non-contradictory.

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?

Four sentences, front-loaded with the main action. Every sentence adds distinct value: purpose, use case/benefit, operational detail, and constraints/errors. No filler or 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?

Adequate for a read tool with no annotations or output schema: explains return type (MCP image content), size limit, and error triggers. The sibling context (get_attachment_url) is referenced, and the tool's role in the attachment lifecycle is clear.

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 baseline is 3. The description does not add parameter-level detail beyond the schema's own descriptions of issue_id and attachment_id, but no compensation is needed.

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 opens with a specific verb+resource: 'Fetch an image attachment and return it as MCP image content.' This clearly differentiates it from siblings like get_attachment_url (returns URL), list_attachments (lists metadata), and upload_attachment (writes).

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?

States the intended use case ('Lets vision-capable models look at a screenshot/photo on a task directly') and explicitly contrasts with receiving a URL and downloading via shell tool. Also provides a when-not implicit by capping at 5 MB, implying use URL path for larger files.

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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