get_pricing
Retrieve the official pricing entry point for Meigen AI image generation services.
Instructions
Return the canonical pricing entry point for Meigen AI.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve the official pricing entry point for Meigen AI image generation services.
Return the canonical pricing entry point for Meigen AI.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It simply states 'Return' without detailing behavior (e.g., data source, caching, side effects). The agent lacks insight into whether this is a simple fetch, requires authentication, or has latency implications.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no unnecessary words. It is front-loaded with the action verb 'Return', providing immediate clarity. Every word adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no parameters, no output schema, and no annotations, the description is minimally adequate. However, it could add context about the return format or entry point structure to help the agent anticipate the response. As is, it leaves some uncertainty.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and schema coverage is 100% (trivially). The description adds no parameter information because none are needed. Baseline for 0 parameters is 4, and the description meets this adequately.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Return' and clearly identifies the resource as 'the canonical pricing entry point for Meigen AI'. It effectively distinguishes the tool from its siblings (list_styles, get_official_links) which focus on different aspects.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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. There is no mention of context, prerequisites, or cases where another tool might be preferred. The description only states what it does, not when to use it.
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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