Xenition

Create an image

create_image

Use this when the user wants an image made from a description — an illustration, photo-style picture, logo idea or background. Saves it to their Xenition library and returns the image link. To change an existing image, use edit_image.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "prompt": "<prompt>"
    },
    "name": "create_image"
  }
}

Input Schema

Name	Required	Description
`title`	No	optional name for the saved image
`prompt`	Yes	what the image should show, with style details — e.g. 'a watercolor of a lighthouse at dawn'
`reference`	No	optional https URL of an image to base it on

Output Schema

Name	Required	Description	Default
`url`	No
`kind`	No
`error`	No
`title`	Yes
`status`	Yes
`openUrl`	No
`artifactId`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 3, 2026

TDQS

A4.5/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false and openWorldHint=true, so the safety profile is covered. The description adds genuinely new behavioral context: the result is persisted to the user's Xenition library and a link is returned. It stops short of mentioning cost, rate limits, or generation latency, which would be the remaining useful disclosure for an open-world generative call.

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, zero filler. The trigger condition is front-loaded, the side effect and return value follow, and the disambiguation to edit_image closes it out.

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?

An output schema exists, so return values need no elaboration, yet the description still flags that a link comes back. Combined with the annotations covering the safety profile and a 100%-covered schema, an agent has everything needed to select and invoke this tool correctly.

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 prompt, title and reference are all already documented with examples in the schema. The description only alludes to the prompt ('made from a description') and says nothing about title or the reference-image parameter. Baseline 3 applies when the schema carries the parameter burden.

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?

States a specific verb+resource ('an image made from a description') and enumerates the concrete outputs an agent might be asked for (illustration, photo-style picture, logo idea, background). It also explicitly names the sibling it is not, edit_image, so the boundary is unambiguous.

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?

Gives an explicit trigger ('when the user wants an image made from a description') and an explicit alternative with its own condition ('To change an existing image, use edit_image'). The agent does not need to infer which of the two image tools to call.

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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