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record_experience

Record a design experience with summary and recall keywords for future context injection during design reviews.

Instructions

记录一条经验到 Experience Memory(append-only),供后续按关键词召回注入 consult context。

summary 必填;triggers 是召回关键词(词面命中);region 可空(全局)。 v6 stage 1 治理:status(active|pending|superseded|wrong,默认 active)、valid_until_ts(Unix 秒,0=永不过期)、 supersedes(旧记忆 id——记录新后自动把旧记忆标 superseded)。返回 {ok, id}。 注入由 config memory_inject 门控(默认关);召回检视见 recall_experiences;改状态见 set_experience_status。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNo
sourceNo
statusNoactive
detailsNo
summaryYes
triggersNo
supersedesNo
valid_until_tsNo
Behavior5/5

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

With no annotations provided, the description fully explains behavioral traits: append-only nature, return format {ok, id}, parameter semantics (status, valid_until_ts, supersedes), and configuration gating (memory_inject). This is comprehensive for a mutation tool.

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?

The description is concise (4-5 sentences) and front-loaded with the main purpose. Each sentence adds value, with no redundancy or irrelevant information.

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?

Given 8 parameters, no output schema, and many sibling tools, the description adequately covers functionality, parameter meanings, return type, and relationships to recall_experiences and set_experience_status. It could mention the exact trigger matching mechanism, but overall it's sufficient.

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 description coverage is 0%, so the description compensates by explaining key parameters: summary (required), triggers (keywords), region (global), status (enum), valid_until_ts (Unix seconds), supersedes (auto-mark). It omits details on source and details but covers core semantics.

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 tool's purpose: recording an experience to Experience Memory for later recall. It uses a specific verb-resource pair and distinguishes it from sibling tools like recall_experiences and set_experience_status.

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?

The description provides context on when to use the tool (to record experiences) and mentions related tools for recall and status changes. It doesn't explicitly state when not to use it, but the guidance is clear enough.

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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