tab_sports_markets
Retrieve sports betting markets from TAB for a given sport and competition using an API key.
Instructions
Get TAB sports betting markets.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sport | No | ||
| competition | No | ||
| api_key | No |
Retrieve sports betting markets from TAB for a given sport and competition using an API key.
Get TAB sports betting markets.
| Name | Required | Description | Default |
|---|---|---|---|
| sport | No | ||
| competition | No | ||
| api_key | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavior. However, it only states 'Get TAB sports betting markets' without any details on authentication, data return, side effects, or limitations. For a sports betting data tool, critical behavioral traits are missing.
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 sentence, which is concise but overly succinct. It lacks structure and fails to provide necessary details, making it insufficient for a tool with multiple parameters and no annotations.
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 absence of annotations, output schema, and parameter descriptions, the tool definition is severely incomplete. It fails to convey how to use the parameters, what the tool returns, or any constraints, leaving significant gaps for an AI agent.
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%, meaning the description adds no meaning to the three parameters (sport, competition, api_key). It does not explain their purpose, format, or example values, leaving the agent to rely solely on parameter names.
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 'Get TAB sports betting markets' clearly states the action (get) and the resource (TAB sports betting markets). It is specific and unambiguous, though it does not explicitly distinguish from sibling tools like 'tab_meetings' or 'tab_race', but the name provides adequate context.
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 versus alternatives. The description does not mention prerequisites, typical use cases, or when not to use it. Sibling tools exist for other TAB services, but no differentiation is provided.
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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