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BotSpot: AI Trading, Backtests and Bots

Get BotSpot account and billing status

get_account_status
Read-only

Returns payment status, active products, backtest usage, and current cycle limits for this authenticated MCP user.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

readOnlyHint=true already tells the agent this is a safe read. The description adds the useful qualifier that results are scoped to the authenticated user, but says nothing about rate limiting, caching, or what a user with no subscription sees. With annotations carrying the safety profile, this is adequate but thin.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with no filler, front-loaded with the return verb and followed by the substantive payload. Nothing could be cut without losing information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description carries the return-value burden, and it discharges that by naming the four data categories returned. It stops short of describing structure or what 'cycle limits' concretely contain, but for a no-parameter status read it is largely sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is no parameter semantics to document; the description correctly does not invent any. The absence of input is implicitly confirmed by the user-scoped wording rather than contradicted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Returns') and enumerates the resource contents: payment status, active products, backtest usage, and cycle limits. An agent knows exactly what comes back. It does not, however, distinguish itself from siblings like show_account_overview or get_active_plan, which sound closely related.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no indication of when to call this versus show_account_overview, get_active_plan, or the billing-link tools. The only usage signal is the implicit 'authenticated MCP user' scoping, leaving the agent to infer selection from the name alone.

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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