create_record
Add a new data record to a specified table, with optional upsert to update existing records.
Instructions
在指定表中创建新记录
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tableName | Yes | 表名称(不是ID) | |
| data | Yes | 记录数据,键值对形式 | |
| upsert | No | 如果记录ID存在则更新,否则新增 |
Add a new data record to a specified table, with optional upsert to update existing records.
在指定表中创建新记录
| Name | Required | Description | Default |
|---|---|---|---|
| tableName | Yes | 表名称(不是ID) | |
| data | Yes | 记录数据,键值对形式 | |
| upsert | No | 如果记录ID存在则更新,否则新增 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does not disclose behavioral traits such as what happens if the record already exists (only the schema mentions upsert), return values, error conditions, or permissions. The description is minimal and lacks transparency.
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, clear sentence. It is front-loaded and concise with no unnecessary words. However, it is extremely minimal and could include more useful information without becoming verbose.
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 lack of annotations and output schema, the description is incomplete. It does not explain return behavior, error handling, or how the upsert parameter works in practice. The description adds little beyond the schema, leaving gaps for an AI agent.
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?
Schema description coverage is 100%, with each parameter having a clear description. The tool description adds no additional meaning beyond what the schema already provides. Baseline is 3 due to high 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 '在指定表中创建新记录' clearly states the action (create new record) and the resource (specified table). It differentiates from sibling tools like update_record, delete_record, and other create tools.
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?
No guidance is provided on when to use this tool versus alternatives. The upsert parameter hints at an update behavior, but the description does not explain when to use create_record vs update_record. No explicit context or exclusion criteria.
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/sshwsfc/mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server