update_memo
Modify existing memos by updating their title and content using a unique memo ID in the mcp-todo server.
Instructions
기존 메모를 수정합니다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | 메모 ID | |
| title | No | 새로운 제목 | |
| content | No | 새로운 내용 |
Modify existing memos by updating their title and content using a unique memo ID in the mcp-todo server.
기존 메모를 수정합니다.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | 메모 ID | |
| title | No | 새로운 제목 | |
| content | No | 새로운 내용 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action (modify) but doesn't cover critical aspects like required permissions, whether changes are reversible, error handling, or response format. This is inadequate for a mutation tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a mutation tool with no annotations and no output schema, the description is insufficient. It lacks details on behavioral traits, usage context, and expected outcomes, making it incomplete for effective tool selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, with clear parameter descriptions in the schema (e.g., '메모 ID' for id). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline score of 3 for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description '기존 메모를 수정합니다' (modifies an existing memo) clearly states the verb (modify) and resource (memo), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'update_todo' beyond the resource name, which is why it doesn't reach a score of 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 doesn't mention prerequisites (e.g., needing an existing memo ID), exclusions, or comparisons to siblings like 'create_memo' or 'delete_memo', leaving usage context unclear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Moon-DaeSeung/mcp-todo'
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