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aimedialab

Risha.ai MCP Server

Official
by aimedialab

risha_generate_image

Converts text prompts into images using default lightweight text-to-image model. Returns the public URL of the generated image.

Instructions

Convenience text-to-image tool. Defaults to the lightweight Nano Banana 2 text-to-image capability and waits for the final public image URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNo
promptYes
capabilityNo
resolutionNo0.5k
pollSecondsNo
aspect_ratioNo1:1
timeoutSecondsNo
extraPromptDataNo
Behavior3/5

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

Reveals that it waits for the final public image URL (polling behavior). Without annotations, this is useful but incomplete—does not mention authentication, rate limits, or side effects.

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

Conciseness4/5

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

Very concise—two sentences. But could be better structured (e.g., separate parameter semantics). Still, it is front-loaded with purpose.

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

Completeness2/5

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

Given 8 parameters, no output schema, and no annotations, the description is insufficient. It misses details about return values, error handling, and parameter roles.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no information about any of the 8 parameters. Agent must rely solely on property names and defaults.

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?

Description clearly states it is a text-to-image tool and mentions default capability (Nano Banana 2) and behavior (waits for final URL). However, it does not distinguish from sibling tools like risha_create_generation or risha_resolve_media_url.

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 on when to use this tool versus alternatives. The description implies it's for simple generation but lacks explicit when/when-not instructions.

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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