Get positions
get_positionsOpen positions on the HYPERneobroker.com paper trading desk (Alpaca paper account): ticker, qty, market value, unrealized P&L per position.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_positionsOpen positions on the HYPERneobroker.com paper trading desk (Alpaca paper account): ticker, qty, market value, unrealized P&L per position.
| 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=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context that this is the Alpaca paper trading account, but it does not mention response shape, ordering, empty-state behavior, or whether a market session is required.
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 that leads with the resource and includes only relevant details: data source and per-position fields. There is no filler or redundant restatement of the tool name.
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 tool, the description adequately tells the agent what it will receive and where the data comes from. It is not quite fully complete because it does not distinguish itself from the similarly named get_portfolio sibling or describe the overall return structure beyond a field list.
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 has zero parameters and schema description coverage is effectively 100%, so the description has no parameter semantics to add. A zero-parameter tool deserves the baseline score of 4.
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 clearly identifies the resource as open positions on the HYPERneobroker paper trading desk and lists the returned fields (ticker, qty, market value, unrealized P&L). It does not explicitly differentiate itself from sibling tools like get_portfolio or get_price, so it stops short of a 5.
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 gives no guidance on when to use this tool versus alternatives such as get_portfolio, get_price, or get_perp_prices. It provides context about the paper trading account but no exclusions, conditions, or selection criteria.
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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