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Get a saved daily work log

get_daily_worklog
Read-onlyIdempotent

Read a saved daily work log from local Markdown and SQLite storage by worklog ID or date and timezone, without contacting TimeTree.

Instructions

Read a saved work log from the local Markdown archive and SQLite ledger by worklogId or by date plus timezone. This is a local read and does not contact TimeTree.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_daily_worklog"
  }
}

Input Schema

NameRequiredDescriptionDefault
dateNoCalendar date in YYYY-MM-DD form. Never infer a date the user did not provide.
timezoneNoIANA time zone, for example Africa/Accra or Europe/London
worklogIdNo
includeMarkdownNo

Output Schema

NameRequiredDescriptionDefault
okYes
dataNo
errorNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false and idempotentHint=true, so the safety profile is covered. The description still adds genuine value by disclosing the data source (local Markdown archive plus SQLite ledger) and confirming no network/TimeTree contact, which reinforces openWorldHint=false. It does not cover not-found behavior or what happens if neither key is supplied.

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, no filler, with the resource and lookup keys front-loaded and the local/no-network constraint second. Every clause carries information an agent can act on.

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?

For a read-only tool with full annotations and an output schema, the description covers purpose, storage location, and lookup modes adequately. The remaining gaps — behavior on missing/not-found logs and the includeMarkdown flag — are minor given the output schema handles return values.

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 50% schema coverage, the description must compensate, and it does add the key semantic that lookup is either by worklogId or by date plus timezone — a pairing the flat schema does not express. But includeMarkdown is left entirely unexplained in both schema and description, and it is unstated what happens if both or neither key is provided.

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?

States a specific verb (Read) and resource (a saved work log) and names the storage substrates (local Markdown archive, SQLite ledger). It also names the two lookup keys, which is more than the title conveys. It stops short of explicitly naming siblings like preview_daily_worklog or search_worklogs, so the boundary is implied by 'saved' rather than stated.

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 sentence 'This is a local read and does not contact TimeTree' gives a real usage context — it tells the agent this reads persisted state rather than live remote data. However, there is no explicit when-to-use versus preview_daily_worklog or search_worklogs, and no guidance on which lookup mode (id vs date+timezone) to prefer.

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