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Read Journal

get_journal
Read-onlyIdempotent

Read a daily journal and recent dates. Preserve ^task markers when writing back.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • removedInput schema / properties / date / description
      Removed value: -"YYYY-MM-DD. Default: today"
  2. Changed1 schema field changed
    • addedInput schema / properties / date / maxLength
      Added value: +10
  3. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the description does not need to restate those. It adds a useful behavioral caution: "Preserve ^task markers when writing back," which tells the agent that journal content may contain markers that must survive round-trips. This goes beyond the structured annotations.

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 very concise and front-loaded with the core purpose. The additional warning about ^task markers is short and adds important behavioral context without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read operation with strong annotations, the description covers the basic action and warns about an important data quirk. However, there is no output schema, and the description does not explain what the response contains, how multiple dates are returned, or how the date parameter behaves. This leaves some gaps for an agent trying to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not meaningfully explain the optional date parameter. The phrase "daily journal and recent dates" hints at date-based behavior but does not clarify the expected format, the effect of omitting the parameter, or the exact scope of "recent dates." The description fails to compensate for the missing schema documentation.

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 action and resource: "Read a daily journal and recent dates." This clearly identifies what the tool does and distinguishes it from sibling tools like write_journal. However, it does not explicitly differentiate from other get_* tools or clarify what "recent dates" means.

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 description implies the tool is for reading journal content, and the readOnly annotation reinforces that. It does not explicitly say when to prefer it over alternatives, nor does it mention write_journal as the counterpart for modifications. Usage context is present but only implied.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: goals, tasks, subtasks, loops, journal, calendar, and stats are cleanly separated. Descriptions include explicit call-order hints (e.g., get_loops before pull_loops) that reduce ambiguity. No two tools appear to do the same thing.

Naming Consistency5/5

Tool names consistently follow a verb_noun snake_case pattern: create_, get_, update_, delete_, pull_, reorder_, write_. Even non-standard verbs like pull_loops and write_journal fit the same predictable structure, making the API easy to navigate.

Tool Count4/5

Sixteen tools is slightly above the typical well-scoped range, but the coverage justifies it given the multiple domains: goals, tasks, subtasks, loops, journal, calendar, and focus stats. Each tool has a clear purpose, so none feel redundant or padding.

Completeness4/5

Goals and tasks have full CRUD coverage, and journal read/write plus loop pulling cover important workflows. Minor gaps exist: loops cannot be created, updated, or deleted, and calendar events are read-only, so some agent actions would require workarounds. Overall, the core planning lifecycle is well supported.

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