ai-agent-scratchpad

scratchpad_checkpoint

현재 세션 상태의 스냅샷을 체크포인트 태그로 저장합니다. keys를 지정하면 해당 키만 스냅샷.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "session_id": "<session_id>",
      "tag": "<tag>"
    },
    "name": "scratchpad_checkpoint"
  }
}

Input Schema

Name	Required	Description
`tag`	Yes	체크포인트 태그 (예: "step-3", "before-refactor")
`keys`	No	스냅샷할 키 목록 (선택사항, 미지정 시 전체)
`session_id`	Yes	세션 식별자

Schema Changelog

Changes observed during successful MCP inspections.

First observedMay 16, 2026

TDQS

B3.3/5.0

Behavior2/5

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

Annotations are absent, so the description must carry the full burden of behavioral disclosure. It does not mention whether an existing checkpoint tag is overwritten, what happens if keys are invalid, or what the tool returns. The description only states the core action without side effects or edge-case behavior.

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, containing two short sentences that front-load the primary action. Every word contributes to understanding the tool's function, with no unnecessary filler.

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

Completeness3/5

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

Given the tool's simplicity, the description covers the essential function and optional key filtering. However, it omits return values, error conditions, and usage context, and there is no output schema or annotations to fill these gaps, leaving some ambiguity for the agent.

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?

The input schema covers all three parameters with descriptions (100% coverage). The description's mention of 'keys' behavior is already redundant with the schema's own parameter description, so it adds no significant semantic value beyond the structured data.

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 saves a snapshot of the current session state under a checkpoint tag, using a specific verb and resource. It distinguishes itself from sibling tools (delete, write, read) by introducing a unique checkpoint/snapshot capability.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus its siblings. There is no mention of appropriate scenarios, prerequisites, or alternatives, leaving the agent to infer usage from the name and description alone.

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

All ai-agent-scratchpad tools Inspect

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