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mnemox-ai

TradeMemory Protocol

by mnemox-ai

Export Audit Trail

export_audit_trail
Read-onlyIdempotent

Export tamper-evident Trading Decision Records with memory context for audit and compliance review.

Instructions

Export Trading Decision Records for audit and compliance review.

Provides a complete, tamper-evident record of trading decisions including the memory context (similar trades, beliefs) that informed each decision.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNoEnd date (ISO format, exclusive). E.g., "2026-04-01".
limitNoMaximum records to return (default 50).
startNoStart date (ISO format, inclusive). E.g., "2026-03-01".
strategyNoFilter by strategy name (e.g., "VolBreakout").
trade_idNoGet a single TDR by trade ID (e.g., "MT5-7047640363"). If provided, other filters are ignored.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.5.4

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds some value by characterizing the output as a 'complete, tamper-evident record' and naming what it contains (memory context, similar trades, beliefs). It does not, however, describe pagination/limit behavior or export format beyond what the schema provides.

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?

Two sentences, front-loaded with the purpose before the content detail. No filler or repetition; the second sentence earns its place by describing what the record includes.

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?

With an output schema present, return values need not be explained, and annotations cover the safety profile. The description supplies purpose and record content, so it is largely complete, though it omits routing guidance to the related audit-verification tools.

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 description coverage is 100%, so parameters (start, end, limit, strategy, trade_id) are fully documented in the schema, including the notable 'trade_id overrides other filters' rule. The description adds no additional parameter meaning, so the baseline 3 applies.

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 (Export) and resource (Trading Decision Records), and clarifies the content includes memory context. Clear enough to distinguish from generic tools, but does not explicitly differentiate from the closely related verify_audit_hash / verify_audit_chain / get_daily_root siblings.

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?

'for audit and compliance review' implies the usage context, giving an agent a sense of when this is appropriate. However, there is no explicit when-to-use vs. when-not, and no routing to the verification siblings (verify_audit_hash, verify_audit_chain) that an agent might reasonably confuse this with.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.