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get_daily_log

Read a project's daily log to get a human-readable timeline of sessions, including lesson and decision counts, for a quick overview of what happened today.

Instructions

读取项目的每日日志(人类可读的会话时间线)。 / Read a project's daily log (human-readable session timeline).

用途:v3.30 新增——每次 wrap_up_session 会在 ``~/.engram/daily/<pid>/<YYYY-MM-DD>.md``
追加一条带时间戳的条目(含 lesson/decision/playbook 计数 + 摘要前 600 字符)。
新会话需要"上次到底干了什么"的快速概览时调本工具,比 search_knowledge 更直观。
Purpose (v3.30): every wrap_up_session appends a timestamped entry to
``~/.engram/daily/<pid>/<YYYY-MM-DD>.md`` with a lesson/decision tally
and the first ~600 chars of the summary. Call this when a new session
needs a glance-able "what happened today" timeline — faster than
search_knowledge for recall.

Args:
    project_folder: 项目文件夹路径。 / Project folder path.
    date: ISO 日期 ``YYYY-MM-DD``(可选,默认今天)。 / ISO date (optional, defaults to today).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_folderYes
dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, but description gives full behavioral context: it reads a file at a specific path, explains how entries are created, and describes the content. Could mention that it's a read-only operation with no side effects, but it's clear enough.

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?

The description is well-structured with bilingual text and separated sections, but it is somewhat verbose, containing implementation details that might be unnecessary for an agent. However, every sentence adds value.

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?

Given the simple parameters and presence of output schema, the description provides all necessary context: file format, entry structure, and comparison with alternatives. No gaps identified.

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

Parameters5/5

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

Schema has 0% description coverage, but the description fully explains both parameters: project_folder as 'Project folder path' and date as 'ISO date YYYY-MM-DD (optional, defaults to today)', adding significant meaning beyond the schema structure.

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?

Clearly states 'Read a project's daily log' with specific verb and resource. Distinguishes from sibling tool search_knowledge by noting it's faster for quick recall.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly describes when to use ('new session needs a glance-able timeline'), and contrasts with search_knowledge. Also explains the tool's origin in v3.30 and relationship to wrap_up_session.

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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