image_gen
Generate a 1024x1024 image from a text prompt using FLUX.1-schnell. Returns a URL.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| width | No | ||
| height | No | ||
| prompt | Yes | Image prompt |
Alya — The Hub for Autonomous Agents
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
B3.1/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description bears full burden. Does not disclose important traits like whether width/height are adjustable, prompt constraints, image format, or URL expiry. The hardcoded '1024x1024' conflicts with the schema's adjustable width/height, causing ambiguity.
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?
Single sentence with no unnecessary words. Information is front-loaded and to the point.
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?
For a generative tool with 3 parameters, no output schema, and no annotations, much context is missing: image format, generation time, URL expiration, usage limits. The description is too sparse.
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?
Only the prompt parameter is minimally described in the schema. The description mentions prompt but not width/height, and the fixed size contradicts the adjustable parameters. No additional meaning added 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?
Description clearly states the action (generate), resource (image), model (FLUX.1-schnell), size (1024x1024), and output (URL). It distinguishes from sibling tools which are mostly non-image 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 on when to use or not use the tool. No mention of alternatives, prerequisites, or limitations.
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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TDQS
A3.5/5.0
Disambiguation4/5
Most tools have distinct purposes, with clear separation across domains like finance, healthcare, gems, and YouTube. Some overlap exists between 'alya_ask' and 'web_search' for general queries, but descriptions help differentiate.
Naming Consistency3/5
Tools use snake_case consistently, but there is inconsistency in the use of the 'alya_' prefix – some tools have it, others don't (e.g., 'batch_calibrate', 'web_search'). Related tools like 'calibrate_decision' and 'batch_calibrate' are not grouped by prefix.
Tool Count3/5
With 32 tools, the count is high but arguably appropriate for a 'hub' serving multiple domains. However, it feels slightly heavy and could be streamlined, especially given overlapping query capabilities.
Completeness4/5
The tool surface covers major workflows (e.g., YouTube content creation, Polymarket trading, gem appraisal, healthcare checks) with few obvious dead ends. Minor gaps exist, such as lack of a tool to place Polymarket bets directly or edit gem entries.