Skip to main content
Glama

Get one journal day

journal_get_day
Read-only

A single trading day: its stats (null when nothing traded), its trades (closed that day, or opened that day and still open) as summaries, and the day's notes with their ids. date is a YYYY-MM-DD day key in the journal timezone. Use it for 'how did Tuesday go', and to find note ids for journal_update_note. Requires signing in with a LuxAlgo account (OAuth).

Input Schema

NameRequiredDescriptionDefault
dateYesThe day, YYYY-MM-DD in the journal timezone.
contextYesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
accountsNoJournal account ids to scope to (from journal_list_accounts). Omit for every account, archived ones included. Unknown ids are rejected.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover the read-only, non-destructive profile, so the bar is lower; the description still adds real context the annotations cannot: stats are null when nothing traded, trades are summaries rather than full records, and OAuth sign-in with a LuxAlgo account is required. It does not mention pagination or limits, but for a single-day read those are largely moot.

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?

It is compact and front-loads the payload shape, which is the most decision-relevant information. The single dense paragraph is efficient, though the return-shape list and the date-format sentence slightly overlap with the schema.

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?

With no output schema, the description carries the burden of describing return values and does so — stats, trade summaries, notes with ids, and the null case. It also flags the auth prerequisite, which is exactly the kind of precondition an agent needs before calling.

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 the schema already fully documents `date`, `context`, and `accounts`, including the timezone and the 'omit for every account' semantics. The description restates the date format and timezone rather than adding new syntax or constraints, so the baseline 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 states exactly what a call returns for a single day: stats (null when nothing traded), trade summaries, and notes with their ids. It frames the scope as 'a single trading day', which contrasts cleanly with multi-day siblings like journal_calendar and journal_overview.

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?

It gives a concrete usage scenario ('how did Tuesday go') and an explicit downstream routing rule, pointing to journal_update_note when note ids are the goal. It stops short of stating when-not-to-use this versus journal_get_trade or journal_search_notes, so it is clear context without full exclusion guidance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.