generate_emoji_api_v1_tasks_emoji_completions_post
Generates an emoji based on provided form data for use in task completions or responses.
Instructions
Generate Emoji
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| form_data | Yes |
Generates an emoji based on provided form data for use in task completions or responses.
Generate Emoji
| Name | Required | Description | Default |
|---|---|---|---|
| form_data | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits such as input format, output details, or limitations. The agent has no insight into how the tool behaves.
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 extremely concise (2 words) but at the expense of substance. It lacks necessary details to be useful, making it underspecified rather than efficiently concise.
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?
Given the lack of output schema, annotations, and parameter explanation, the description is severely incomplete. It fails to provide enough context for an agent to use the tool correctly.
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 0%, and the description adds no meaning to the 'form_data' parameter. The parameter is an object with additionalProperties true, leaving its purpose completely unclear.
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 'Generate Emoji' clearly states the tool's action and resource. Among sibling generation tools (e.g., generate_autocompletion, generate_chat_tags), this is the only one specific to emoji, making it distinguishable.
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 provides no guidance on when to use this tool vs. alternatives like other generation endpoints. No context or exclusions are given.
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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