Skip to main content
Glama

create_image

Generate an image from a text description using Gemini. Provide an optional file name without extension to save the output.

Instructions

generates an image using Gemini from the given text description. do NOT include a file extension in file_name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_nameNo
descriptionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are present, so the description carries full responsibility for disclosing behavior. It reveals that the tool generates an image and adds a useful file_name constraint, but it does not disclose side effects, output behavior, failure modes, latency, or any requirements around the generated file. The description adds some value but is thin on behavioral context.

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?

The description is very short, front-loaded with the core action, and every sentence earns its place. The critical file-extension gotcha is given separately and clearly. There is no fluff or redundancy.

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

Completeness3/5

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

For a two-parameter tool with an output schema, the description is minimally adequate: it names the input and flags a key constraint. But it leaves gaps around optional file_name behavior, what the tool returns, and any operational context. An agent could likely call it correctly, but not with full understanding.

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 0%, so the description must compensate. It clarifies that description is a text prompt and adds a meaningful file_name constraint: do not include an extension. However, it does not explain what happens when file_name is null/default, naming conventions, or why the extension must be omitted.

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 clearly states a specific verb/resource: 'generates an image using Gemini from the given text description.' It distinguishes implicitly from sibling describe_image by being the creation counterpart. However, it does not explicitly differentiate itself or mention what the generated image output is beyond the act of generation.

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?

No guidance is provided about when to use this tool versus alternatives or when not to use it. The only instruction is the file-extension rule, which is a parameter-level constraint, not usage context. Sibling tools like describe_image are not mentioned, leaving selection entirely to inference.

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/maxwellaguiarsilva/project-mcp-tools'

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