Shareable image of a verse
get_text_imageGenerate a shareable image (PNG) of a short passage, sized for a social platform.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ref | Yes | Short passage, ideally one verse/segment. | |
| language | No | en | |
| platform | No |
get_text_imageGenerate a shareable image (PNG) of a short passage, sized for a social platform.
| Name | Required | Description | Default |
|---|---|---|---|
| ref | Yes | Short passage, ideally one verse/segment. | |
| language | No | en | |
| platform | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover safety traits (readOnlyHint, idempotentHint, destructiveHint), so the description's burden is lower. It adds useful output context (PNG format, social sizing) but does not disclose mechanical behaviors like how the image is returned (e.g., URL vs. binary) or any limitations. It does not contradict the annotations.
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, well-structured sentence that front-loads the verb and resource. Every clause adds value (PNG format, social platform), with no redundant or filler content.
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?
The tool is relatively simple, but the description does not clarify how the generated image is delivered to the caller (e.g., URL, base64, file). It also does not explain the 'language' parameter's role, though the enum values are self-explanatory. Given the absence of an output schema, a bit more detail on return format would improve completeness.
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?
Schema description coverage is only 33%; only 'ref' has a description. The tool description does not elaborate on 'language' or 'platform' parameters beyond the enums, and the phrase 'sized for a social platform' only hints at the platform parameter without explaining the options. This fails to compensate for the low schema coverage.
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 states a specific action ('Generate'), a specific resource ('a shareable image (PNG) of a short passage'), and a clear use context ('sized for a social platform'). This clearly distinguishes it from sibling tools that fetch text or metadata, and the title reinforces the purpose without being a tautology.
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?
The description does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusion conditions. However, its purpose is obvious (image generation), and it is distinct from the many text-retrieval siblings, so usage is implicitly clear but not explicitly guided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.