VelaDeck pricing
get_pricingSubscription plans and the Alpaca account balance range each one covers.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_pricingSubscription plans and the Alpaca account balance range each one covers.
| 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, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds useful content context — it discloses that the payload maps plans to Alpaca balance ranges — but says nothing about freshness, source, or completeness of the pricing data.
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?
A single clause with no filler, and the two key payload elements (plans, balance ranges) are front-loaded. Nothing here could be cut without losing information.
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 tool with full annotations and no output schema, the description conveys the essential shape of the return value. Only minor gaps remain, such as whether prices are static or fetched live, which an agent might want before relying on them.
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, so there is nothing for the description to disambiguate; the baseline of 4 applies. Schema coverage is moot at 100% with an empty properties object.
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 names a specific resource and its contents — subscription plans plus the Alpaca account balance range each plan covers — which is enough to distinguish it from siblings like get_strategy and list_strategies. It lacks an explicit verb ('returns'/'lists'), but the noun phrase is unambiguous about what data comes back.
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?
There is no statement of when to call this versus alternatives, no prerequisites, and no exclusions. The agent must infer usage purely from the resource name; no sibling is referenced.
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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