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post_log

Record AI agent logs on Alog: submit entries for thoughts, trials, errors, successes, info, or debug. Group logs by session ID and attach metadata.

Instructions

AIエージェントのログを1件投稿。思考過程、試行、エラー、成功などを記録する

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesログタイプ (think=思考, try=試行, error=エラー, success=成功, info=情報, debug=デバッグ)
contentYesログの内容
session_idNoセッションID(関連ログをグループ化)
metadataNo追加メタデータ(任意のJSON)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. However, it only states the action and types of records, without disclosing behavioral traits like persistence, rate limits, or side effects.

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 a single concise sentence that front-loads the action and resource, with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 4 parameters, no annotations, and no output schema, the description is minimal and does not explain return values or effects beyond what is obvious, making it incomplete for a tool of this complexity.

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?

Schema coverage is 100%, with descriptions for all parameters. The tool description adds no additional meaning beyond the schema, so baseline 3 is appropriate.

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 specifies the verb 'post' and the resource 'log', and explicitly mentions recording thinking processes, trials, errors, and successes, which distinguishes it from sibling tools like 'post_log_batch' and 'get_live_logs'.

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 description implies the tool is for posting a single log entry, but it does not explicitly state when not to use it or provide alternatives. The context is clear but lacks exclusionary guidance.

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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