get_outcome
Retrieve data for a single prediction market outcome using the market identifier and outcome index.
Instructions
Get data for a single prediction market outcome.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| market | Yes | ||
| outcome | Yes |
Retrieve data for a single prediction market outcome using the market identifier and outcome index.
Get data for a single prediction market outcome.
| Name | Required | Description | Default |
|---|---|---|---|
| market | Yes | ||
| outcome | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description is the sole source of behavioral information. It only states 'Get data' without specifying read-only nature, required permissions, side effects, or response characteristics. The description lacks necessary context for safe invocation.
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 very short and front-loaded, which aids quick scanning. However, it is too minimal to be considered optimally concise—it omits necessary detail, making it under-informative rather than efficiently compact.
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 tool has two required parameters and no output schema or annotations, the description is insufficient. It does not explain what data is returned or how the outcome parameter relates to prediction markets. The tool cannot be used confidently without further context.
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%, yet the description adds no meaning to the parameters 'market' and 'outcome'. It does not explain their formats, constraints, or expected values. The description fails to compensate for the poor 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 clearly identifies the verb (Get) and resource (data for a single prediction market outcome). It states the tool's purpose without ambiguity. However, it does not differentiate from similar sibling tools like get_final_outcome or get_market_info, which could lead to confusion.
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 is provided on when to use this tool versus alternatives. There is no mention of use cases, prerequisites, or exclusion criteria. The description does not help the agent decide between get_outcome and other sibling get_* tools.
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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