outcomes_list_markets
List prediction markets with configurable page size. Retrieve available markets for outcomes trading.
Instructions
[L:READ] CAT:[预测] | → 请先调用 agent_catalog
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| pageSize | No | 每页数量 |
List prediction markets with configurable page size. Retrieve available markets for outcomes trading.
[L:READ] CAT:[预测] | → 请先调用 agent_catalog
| Name | Required | Description | Default |
|---|---|---|---|
| pageSize | No | 每页数量 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description must disclose behavior. The [L:READ] tag hints at read-only but is not explicit. No mention of side effects, authorization, or rate limits.
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 but cryptic; it sacrifices clarity for brevity. It is not well-structured for agent interpretation.
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?
No output schema is provided, and the description fails to explain the return format or what markets are listed. For a list tool, this is incomplete.
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?
Only one parameter (pageSize) is present, and its schema description covers 100% of the meaning. The tool description adds no additional semantics, so baseline score applies.
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 cryptic tags like [L:READ] and CAT:[预测] without explaining what the tool does. The name 'outcomes_list_markets' suggests listing markets, but the purpose is vague and not clearly stated in plain language.
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 instruction '请先调用 agent_catalog' provides a prerequisite but no guidance on when to use this tool versus alternatives like outcomes_list_events. No explicit when-not-to-use or context.
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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