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@segnals/mcp

by eidostein

segnals_explain_config

Analyze a bot's current configuration to understand each setting, flag risky combinations, and receive improvement suggestions.

Instructions

Analyze and explain a bot's current configuration. Describes what each setting does, flags risky combinations (e.g., Martingale with high multiplier), and suggests improvements. Use this to understand or review a bot's strategy setup. Requires scope: read:bots. Example: segnals_explain_config({ bot_id: 42 })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bot_idYesThe ID of the bot to explain
Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It mentions the required scope (read:bots) and that it flags risky combinations and suggests improvements, adding useful context. However, it doesn't fully disclose whether it is read-only or any side effects.

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?

Three sentences with no redundancy: first explains action, second adds detail, third gives usage guidance and an example. Efficient and front-loaded.

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

Completeness5/5

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

For a simple tool with one parameter, no output schema, and no annotations, the description adequately covers purpose, usage, behavioral hints, and an example, making it complete enough for an AI agent.

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?

The input schema covers the sole parameter bot_id with a description. The description adds an example usage but no additional semantic detail beyond the schema, 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 analyzes and explains a bot's configuration, describing settings, flagging risks, and suggesting improvements. This is specific and distinct from siblings like segnals_get_bot.

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?

Explicitly says 'Use this to understand or review a bot's strategy setup,' providing clear usage context. It does not mention when not to use it, but the purpose is sufficiently clear.

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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