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severity1

3commas-mcp

get_dca_bot_profit_data

Fetch daily profit data for a DCA bot, showing BTC and USD earnings over a user-defined number of days.

Instructions

Get daily profit data for a specific DCA bot.

Args: bot_id: DCA bot unique identifier days: Number of days for profit data (default: 30) response_filter: Response detail level ("full" or "display")

Returns: Daily profit analytics with BTC/USD amounts and timestamps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bot_idYes
daysNo
response_filterNodisplay

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden. It indicates a read operation ('Get') and describes the return format, but does not disclose behavioral traits like idempotency, permissions, or rate limits. The return description adds value but is insufficient for full transparency.

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?

The description is concise and well-structured with Args and Returns sections. Every sentence serves a purpose, and the format is easy to parse.

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?

Given the simple three-parameter tool and the presence of an output schema (indicated but not shown), the description provides sufficient context: it names the return content (Daily profit analytics with BTC/USD amounts and timestamps) and covers parameters. Minor gap: no explanation of the default behavior when response_filter is 'display' vs 'full'.

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

Parameters5/5

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

Schema description coverage is 0%, but the description fully compensates by explaining each parameter: bot_id as 'DCA bot unique identifier', days as 'Number of days for profit data (default: 30)', and response_filter as 'Response detail level ("full" or "display")'. This adds crucial meaning beyond the schema.

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?

The description clearly states 'Get daily profit data for a specific DCA bot', which is a specific verb and resource. It distinguishes from siblings like get_dca_bot_details and get_dca_bot_list, though it could be more explicit about its unique scope.

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 does not provide any guidance on when to use this tool versus alternatives or when not to use it. It only states what it does, leaving the agent to infer context.

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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