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mnemox-ai

TradeMemory Protocol

by mnemox-ai

get_trade_reflection

Read-onlyIdempotent

Retrieve a trade's full context and reflection to analyze reasoning, extract lessons, and improve future trading decisions.

Instructions

Get the full context and reflection for a specific trade.

Use this to deep-dive into a particular trade's reasoning and lessons.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trade_idYesThe trade ID to look up

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds minimal behavioral context beyond that, only indicating that it returns context and reflection, which is largely implied by the tool name and output schema.

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 exactly two sentences, begins with the action verb 'Get', and includes a practical usage note. Every word earns its place, with no redundant or vague phrasing.

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 read-only lookup with one parameter, full schema coverage, a complete set of annotations, and an output schema, the description provides all necessary context: what it does, when to use it, and its safety profile. It does not need to explain return values because the output schema exists.

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 contains a single required parameter trade_id with a clear description, achieving 100% schema description coverage. The description adds no extra parameter semantics, but the schema already fully documents the parameter, so the baseline score of 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 starts with a specific verb 'Get' and names the resource 'full context and reflection for a specific trade', clearly distinguishing it from sibling tools like remember_trade or get_strategy_performance. The second sentence reinforces its unique purpose by framing it as a deep-dive into a trade's reasoning.

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 states when to use the tool: 'Use this to deep-dive into a particular trade's reasoning and lessons.' This provides clear context, but it does not name alternative tools or mention exclusions, so it stops short of the top score.

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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