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johnamcruz

projectx-mcp

by johnamcruz

Write to trading journal

journal_add

Persist trading notes as plan, entry, exit, review, lesson, or note so future sessions can learn from past reasoning and improve decisions.

Instructions

Persist your reasoning so future sessions can learn from it. kinds: plan (pre-session thesis), entry, exit, review (post-trade grading: what happened vs. plan), lesson (a durable rule you want future-you to follow), note.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
tagsNoFree-form, e.g. ["breakout", "MNQ", "mistake:chased"].
textYes
orderIdNo
accountIdNoTrading account ID from list_accounts.
contractIdNoContract ID, e.g. "CON.F.US.MNQ.Z25". Get it from search_contracts.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already establish that this is a non-destructive write (readOnlyHint=false, destructiveHint=false). The description adds the useful behavioral context that entries persist for future sessions. No contradiction with annotations. However, it does not disclose what the tool returns after persisting (there is no output schema), and says nothing about appending versus overwriting behavior.

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?

The purpose is front-loaded in a single opening clause, followed by a compact and efficient taxonomy. Every element earns its place and there is no filler. The dense kind list is slightly less scannable than a bulleted form would be, but it remains appropriately sized.

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 kind ordering implies a full trading workflow (plan → entry → exit → review → lesson), which provides strong context for when entries get written. Since no output schema exists, the lack of any statement about the return value is a modest gap, as is the absence of guidance on linking entries to trades via orderId/contractId/accountId.

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?

With schema coverage at 50%, the description compensates by richly explaining the most important required parameter, kind, which the schema lists only as bare enum values. The parenthetical definitions ("review (post-trade grading...)") add real semantic value. The remaining parameters are mostly covered by schema descriptions referencing list_accounts and search_contracts, though text and orderId get no added meaning.

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?

The description states a specific verb and resource: "Persist your reasoning so future sessions can learn from it." The kind taxonomy (plan, entry, exit, review, lesson, note) further sharpens what the tool is for. It reads clearly as the write counterpart to journal_read and is distinct from trade-execution tools, though it never explicitly names its 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?

The per-kind definitions give meaningful when-to-write guidance (e.g., "pre-session thesis," "post-trade grading: what happened vs. plan"), which helps an agent decide what to log. However, there is no explicit statement of when not to use this tool or when to prefer an alternative such as journal_read or place_order; the differentiation is implied rather than stated.

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