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get_daily_log

Retrieve a project's daily log to view a timestamped timeline of sessions with lesson and decision tallies, providing a quick summary 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 are present, so the description carries the full burden. It discloses that the tool reads a file, specifies the exact file path, and describes the content structure (timestamped entry with lesson/decision counts and summary). It implicitly assures read-only behavior, though an explicit statement about lack of side effects would push it to 5.

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 structured with a purpose statement, background, usage guidance, and parameter list. It is front-loaded and each sentence serves a purpose. The bilingual duplication is slightly redundant but acceptable; overall it's efficient.

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 two-parameter schema and the presence of an output schema (not shown), the description covers all needed aspects: what the tool does, how it works, when to use it, and what the file contains. It complements the sibling 'wrap_up_session' well. No gaps identified.

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%, but the description provides clear meanings for both parameters: project_folder (folder path) and date (ISO format, optional, defaults to today). This adds value beyond the bare schema. A minor improvement would be to include an example or constraints, but it's already sufficient.

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 clearly states the verb 'read', the resource 'project daily log', and distinguishes it from sibling 'search_knowledge' by noting it provides a faster, glance-able timeline. The bilingual text reinforces the purpose.

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 states when to call ('when a new session needs a quick overview'), provides a comparison to an alternative ('faster than search_knowledge'), and explains the file location and content format, leaving no ambiguity about appropriate use.

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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