Skip to main content
Glama

Manawa Terminal

List journal entries

list_journal
Read-only

List generated daily research journal entries (most recent first).

Entries appear only after the automatic end-of-day journal generation run.
Drafts from submit_journal_draft are not listed until that run completes.

Args:
    offset: Skip this many entries (default 0)
    limit: Page size (default 50, max 100). Upstream returns at most 90 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / limit
      Added value: +{
      +  "default": 50,
      +  "title": "Limit",
      +  "type": "integer"
      +}
    • addedInput schema / properties / offset
      Added value: +{
      +  "default": 0,
      +  "title": "Offset",
      +  "type": "integer"
      +}
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=false), so the bar is lower. The description still adds meaningful behavioral context beyond annotations: the generation-run lifecycle gating data visibility, draft exclusion, and the upstream retention limit of at most 90 days.

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?

Front-loads the purpose, then the behavioral constraints, then the parameter list in a scannable Args block. Every sentence contributes, with only slight redundancy between the ordering note and the lifecycle note.

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?

An output schema exists, so return-value explanation is unnecessary, and the description is complete enough to call correctly: it covers paging params, ordering, visibility lifecycle, draft exclusion, and retention limits.

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?

Schema coverage is 0%, so the description must carry the parameter documentation, and it does: offset (skip N, default 0) and limit (page size, default 50, max 100). It also adds a non-obvious upstream constraint (at most 90 days) that the schema does not encode. Minor gap: no guidance on page-size tradeoffs, but semantics are otherwise complete.

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?

States a specific verb (List) and resource (generated daily research journal entries) plus ordering (most recent first). It also distinguishes itself from siblings by noting that drafts from submit_journal_draft are not listed, so an agent can tell it apart from submit_journal_draft and get_journal_entry without opening other schemas.

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?

Clearly explains the context in which entries become visible (only after the automatic end-of-day generation run) and warns that drafts are excluded until then. It does not, however, explicitly route the agent to an alternative (e.g., get_journal_entry for a single entry), so it is strong on context but lacks explicit when-not/alternative 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.

Resources