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Write Journal

write_journal

Append or replace a journal. Read before replacing and preserve ^task markers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
modeNo
contentYes

Schema Changelog

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

  1. Changed3 schema fields changed
    • removedInput schema / properties / content / description
      Removed value: -"Markdown to write"
    • removedInput schema / properties / date / description
      Removed value: -"YYYY-MM-DD. Default: today"
    • removedInput schema / properties / mode / description
      Removed value: -"Default: append"
  2. Changed2 schema fields changed
    • addedInput schema / properties / content / maxLength
      Added value: +100000
    • addedInput schema / properties / date / maxLength
      Added value: +10
  3. First observed

TDQS

A3.5/5.0
Behavior1/5

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

The description discloses meaningful behavior by warning to preserve ^task markers and read before replacing. However, the annotations declare destructiveHint=false while the description's replace mode and preservation warning indicate destructive data-loss risk, which is an annotation contradiction that leaves an agent with conflicting signals.

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?

Two sentences with no filler; the core action is front-loaded and the second sentence adds an important behavioral caveat. Every word carries weight.

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 mutation tool with no output schema and sparse annotations, the description is minimally viable but incomplete: it does not specify the mode default, date format, response behavior, or how to preserve task markers beyond a short instruction. An agent can invoke it correctly for basic cases but may guess on edge cases.

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?

With 0% schema description coverage, the description provides some parameter meaning: it explains the mode choices (append/replace), implies content is journal text, and adds the ^task marker requirement. Still, date semantics and content format are not explained, so it only partially compensates for the schema gap.

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 uses a specific verb phrase 'Append or replace a journal,' naming the exact action and resource. It also signals that this is the write counterpart to tools like get_journal, distinguishing it from the read and goal/task siblings.

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 clearly implies use when the agent needs to create or modify a journal by appending or replacing content. It lacks an explicit exclusion or pointer to get_journal as the alternative, though the instruction to 'Read before replacing' strongly suggests the prerequisite read path.

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.

Resources