get_market_liquidity
Get liquidity data for a prediction market to assess available funds and market depth.
Instructions
Get liquidity data for a prediction market.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| market | Yes | ||
| outcome_id | No | ||
| limit | No |
Get liquidity data for a prediction market to assess available funds and market depth.
Get liquidity data for a prediction market.
| Name | Required | Description | Default |
|---|---|---|---|
| market | Yes | ||
| outcome_id | No | ||
| limit | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description does not disclose any behavioral traits (e.g., whether data is static or real-time, pagination, rate limits). The minimal description fails to compensate for missing 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?
Extremely concise (one sentence). No wasted words, but at the cost of depth. Could benefit from more structure without losing conciseness.
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 and minimal description. Does not explain what liquidity data is returned, data format, or any edge cases. Incomplete for agent usage.
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?
With 0% schema description coverage, the description adds no meaning to the parameters. Parameter names alone (market, outcome_id, limit) are insufficient without explanation of expected format or purpose.
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?
Description clearly states the action (get) and object (liquidity data for a prediction market), which is specific. However, it does not differentiate from sibling tools like get_market_info or get_market_events.
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 instead of alternatives. No context about prerequisites or typical use cases.
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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