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scratchpad_write

세션에 키-값을 저장합니다. value는 문자열 또는 JSON 직렬화 가능한 값.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYes스크래치패드 키
ttlNo만료 시간(초), 선택사항
valueYes저장할 값 (문자열 또는 객체)
session_idYes세션 식별자 (에이전트 실행 단위)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.2/5.0
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 of behavioral disclosure. It only mentions that value must be a string or JSON serializable, but does not disclose whether writes overwrite existing keys, how TTL behaves, or whether a session is auto-created. This is a mutation tool where such details are important.

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 primary action. There is no filler or redundant information. It efficiently communicates the core purpose.

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 no output schema and no annotations, the description is incomplete for a write tool. It fails to explain return values, overwrite semantics, TTL behavior, or any error conditions. The provided information is only minimally sufficient to understand what the tool does, not how it behaves in practice.

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 all four parameters already having descriptions. The description adds no new parameter semantics beyond repeating the value type constraint already present in the schema. Baseline of 3 is appropriate since the schema does the heavy lifting.

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 action: '세션에 키-값을 저장합니다' (stores key-value in session). This is a specific verb+resource that distinguishes it from sibling tools like scratchpad_read, scratchpad_delete, and scratchpad_list, which handle other operations.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention conditions, prerequisites, or any explicit exclusion criteria. The context of sibling tools is present in the signal, but the description itself offers no usage direction.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: checkpoint saves snapshots, delete removes keys, diff compares values, list enumerates keys, read retrieves values, and write stores values. No overlap or ambiguity exists among them.

Naming Consistency5/5

All tools follow a consistent 'scratchpad_' prefix with a concise verb (checkpoint, delete, diff, list, read, write). The snake_case naming is uniform and predictable.

Tool Count5/5

Six tools is well-scoped for a key-value store with checkpointing functionality. Each tool serves a distinct and necessary purpose without redundancy or bloat.

Completeness4/5

The surface covers the core CRUD operations (write, read, list, delete) plus checkpointing and diffing. A restore-from-checkpoint operation is missing, but agents can work around this by reading checkpoint values and writing them back.