Read live First Dollar Test terms
get_opportunityFree current admission, network, price, reward/refund policy and wallet requirements. Read before creating or paying.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_opportunityFree current admission, network, price, reward/refund policy and wallet requirements. Read before creating or paying.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior. The description adds useful behavioral context beyond that: the data is 'live' and current, and it enumerates the substantive fields the caller should expect. No contradiction exists between the description and 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?
Two short sentences convey the tool's content and its required placement in the workflow. There is no redundant restatement of the tool name or annotation hints, and every phrase adds value.
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?
For a parameterless read-only tool with rich safety annotations and no output schema, the description is largely complete: it names the returned information categories and tells the agent to call it before creating or paying. It could be slightly more explicit about the returned shape, but the low complexity and strong annotations make this a minor gap.
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?
The tool takes zero parameters and the schema description coverage is 100%, so there is no parameter-related burden for the description to carry. The baseline of 4 applies for a parameterless tool; nothing is missing.
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 title names the resource ('live First Dollar Test terms') and the description lists the specific content returned: admission, network, price, reward/refund policy, and wallet requirements. The directive 'Read before creating or paying' clarifies the read-only purpose. It is distinguishable from siblings like get_payment_quote and get_receipt, though the description's telegraphic style is slightly less explicit than an action verb.
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 states clearly when to use this tool: 'Read before creating or paying.' This provides actionable workflow context relative to mutation siblings like create_run, enroll, and submit_answer. It does not explicitly name alternatives or say when not to use it, but the precondition is clear.
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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