list_sandbox_businesses
List the sandbox businesses that exist, so you can resume working on one.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List the sandbox businesses that exist, so you can resume working on one.
| 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?
With no annotations, the description carries the burden of behavioral disclosure. 'List' implies a read-only operation, and the tool has zero parameters, so the risk is low. However, the description does not disclose return value shape (e.g., identifiers, names) or any ordering/pagination behavior, which would be useful context.
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, concise sentence that earns its place. It immediately states the action and the purpose without any filler, making it easy for an agent to parse quickly.
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 zero-parameter, read-only list tool, the description provides sufficient context: it tells what is listed and why. The only gap is the lack of an output schema or explanation of what fields are returned, but the purpose 'resume working on one' implies the returned items are identifiable enough for continued work.
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 input schema is empty (0 parameters), so parameter semantics are not a concern. Per the baseline for zero-parameter tools, the description need not explain parameters. It correctly focuses on the tool's purpose rather than inventing parameter details.
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 a specific verb ('List') and resource ('sandbox businesses') and states the intended purpose ('so you can resume working on one'). It clearly distinguishes itself from sibling tools like create_sandbox_business by focusing on existing sandbox businesses rather than creation or general business search.
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 phrase 'so you can resume working on one' provides a clear contextual trigger for when to use this tool. It does not explicitly mention alternatives, but the 'sandbox businesses' qualifier implicitly separates it from broad business search tools like search_businesses, so the usage context is reasonably 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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