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NLYRA — the risk layer of Robinhood Chain

Bot presets the Desk validated

list_bot_presets
Read-onlyIdempotent

The trading-bot presets The Desk publishes for Robinhood Chain tokens (spot grid and infinity grid, ETH-funded): what each bot does, its band and step, the minimum and suggested investment, and its backtest. Backtests are estimates on past prices, not promises.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context by warning that backtests are estimates on past prices, not promises. However, it doesn't mention rate limits, freshness, or pagination; a 3 is appropriate given annotations do the heavy lifting.

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

Conciseness4/5

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

A single sentence covers the resource, funding model, returned fields, and a caveat, with no obvious filler. It is front-loaded and efficient, though the density is high.

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?

For a read-only, parameterless list tool with no output schema, the description adequately conveys what is returned and the nature of the backtest data. No output schema exists, so explaining return values is appropriate, and it does so. Missing only minor details like refresh cadence.

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 has zero parameters, so the baseline is 4. The description appropriately spends its length describing the returned content (band, step, min/suggested investment, backtest) rather than parameters, which is correct for a paramless list endpoint.

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 and resource (listing bot presets published by 'The Desk' for Robinhood Chain tokens), including the bot types and the fields returned. It is clear what is being fetched, though it does not explicitly differentiate from sibling tools like prepare_bot.

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

Usage Guidelines3/5

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

Usage is implied by the description—this is the discovery step before preparing a bot—but there is no explicit when/when-not guidance or reference to alternatives such as prepare_bot. The context is inferable but not stated.

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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