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eidostein

@segnals/mcp

by eidostein

segnals_get_bot_performance

Retrieve detailed performance metrics for a specific trading bot, including net PnL, win rate, total trades, and drawdown, to analyze bot effectiveness.

Instructions

Get detailed performance metrics for a specific bot: net PnL, win rate, total trades, drawdown, and more. Use this to analyze how well a particular bot is performing. Requires scope: read:stats. Example: segnals_get_bot_performance({ bot_id: 42 })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bot_idYesThe ID of the bot to get performance for
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the required scope and gives an example call. It does not explicitly state that the tool is read-only or describe error behavior, which is a gap for a tool with no annotations.

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 two sentences plus an example. It is front-loaded with the key purpose and resources. Every sentence adds value with no redundancy.

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?

The description covers what metrics are returned, required scope, and provides a usage example. For a simple tool with one required parameter and no output schema, it is nearly complete but could mention return format or error handling.

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

Parameters3/5

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

Schema coverage is 100% and the parameter description in the schema already explains 'The ID of the bot to get performance for'. The description adds an example but no new semantic information beyond what the schema provides, so baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool retrieves detailed performance metrics for a specific bot, listing specific metrics like net PnL and win rate. It distinguishes from siblings like segnals_get_bot or segnals_get_pnl_summary by focusing on performance analytics.

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

Usage Guidelines4/5

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

The description explicitly says 'Use this to analyze how well a particular bot is performing' and provides a usage example. It also mentions the required scope 'read:stats'. However, it does not specify when not to use or compare to alternatives.

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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