Airtable MCP Server
Airtable MCP 服务器
一个模型上下文协议服务器,提供与 Airtable API 交互的工具。该服务器支持通过 Claude Desktop 或其他 MCP 客户端以编程方式管理 Airtable 的库、表、字段和记录。
该 MCP 服务器具有专门的实现,允许其分阶段构建表格,充分利用 Claude 的代理功能,并最大限度地降低其他 Airtable MCP 服务器在构建复杂表格时常见的失败率。它还包含系统提示和项目知识Markdown 文件,为法学硕士 (LLM) 在 Claude Desktop 中利用项目时提供额外指导。
要求:Node.js
从nodejs.org安装 Node.js(版本 18 或更高版本)和 npm
验证安装:
node --version npm --version
⚠️重要提示:运行之前,请务必设置您的 Airtable API 密钥
Related MCP server: Airtable MCP Server
获取 Airtable API 密钥
在airtable.com登录您的 Airtable 帐户
在Airtable 的 Builder Hub创建个人访问令牌
在个人访问令牌部分选择以下范围:
数据.记录:读取
数据.记录:写入
schema.bases:读取
schema.bases:写入
选择您想要授予个人访问令牌访问权限的工作区或基地
确保此密钥安全 - 您将需要它进行配置
安装
方法 1:使用 npx(推荐)
导航到 Claude 配置目录:
Windows:
C:\Users\NAME\AppData\Roaming\ClaudemacOS:
~/Library/Application Support/Claude/
您还可以在 Claude Desktop 应用程序中找到这些目录:Claude Desktop > 设置 > 开发人员 > 编辑配置
创建或编辑
claude_desktop_config.json:
{
"mcpServers": {
"airtable": {
"command": "npx",
"args": ["@felores/airtable-mcp-server"],
"env": {
"AIRTABLE_API_KEY": "your_api_key_here"
}
}
}
}注意:对于 Windows 路径,请使用双反斜杠 (\) 或正斜杠 (/)。
方法 2:使用 mcp-installer:
mcp-installer 是一个用于安装其他 MCP 服务器的 MCP 服务器。
通过提示 Claude Desktop 安装 Airtable MCP 服务器:
Install @felores/airtable-mcp-server set the environment variable AIRTABLE_API_KEY to 'your_api_key'Claude 将安装服务器,修改配置文件并将环境变量 AIRTABLE_API_KEY 设置为您的 Airtable API 密钥。
方法3:本地开发安装
如果您想贡献或修改代码,请在终端中运行此命令:
# Clone the repository
git clone https://github.com/felores/airtable-mcp.git
cd airtable-mcp
# Install dependencies
npm install
# Build the server
npm run build
# Run locally
node build/index.js然后修改Claude Desktop配置文件以使用本地安装:
{
"mcpServers": {
"airtable": {
"command": "node",
"args": ["path/to/airtable-mcp/build/index.js"],
"env": {
"AIRTABLE_API_KEY": "your_api_key_here"
}
}
}
}验证安装
启动 Claude Desktop
Airtable MCP 服务器应列在“已连接的 MCP 服务器”部分中
使用简单命令进行测试:
List all bases特征
可用操作
基地管理
list_bases:列出所有可访问的 Airtable 基础list_tables:列出基础中的所有表create_table:创建一个带有字段的新表update_table:更新表的名称或描述
现场管理
create_field:向表中添加新字段update_field:修改现有字段
记录操作
list_records:从表中检索记录create_record:添加新记录update_record:修改现有记录delete_record:删除记录search_records:查找符合条件的记录get_record:通过 ID 获取单个记录
字段类型
singleLineText:单行文本字段multilineText:多行文本区域email:电子邮件地址字段phoneNumber:电话号码字段number:具有可选精度的数字字段currency:带有货币符号的货币字段date:带有格式选项的日期字段singleSelect:从选项中单选multiSelect:选项中的多个选择
字段颜色
选定字段的可用颜色:
blueBright,redBright,greenBrightyellowBright,purpleBright,pinkBrightgrayBright,cyanBright,orangeBrightblueDark1,greenDark1
贡献
我们欢迎您为改进 Airtable MCP 服务器做出贡献!您可以通过以下方式做出贡献:
分叉存储库
点击右上角的“Fork”按钮
在本地克隆你的 fork:
git clone https://github.com/your-username/airtable-mcp.git
创建功能分支
git checkout -b feature/your-feature-name做出改变
遵循现有的代码风格
如果适用,添加测试
根据需要更新文档
提交你的更改
git add . git commit -m "feat: add your feature description"推送到你的 Fork
git push origin feature/your-feature-name创建拉取请求
前往 GitHub 上的 fork
点击“新建拉取请求”
选择你的功能分支
详细描述你的变化
开发指南
使用 TypeScript 编写新代码
遵循语义提交消息
更新新功能的文档
添加新功能的示例
彻底测试您的更改
获取帮助
针对错误或功能请求打开问题
加入现有问题的讨论
在拉取请求中提问
您的贡献有助于改进此工具,使其更适合所有人。无论是:
添加新功能
修复错误
改进文档
建议改进
我们感谢您的帮助,使 Airtable MCP 服务器更加强大和用户友好!
执照
由 Airtable MCP 社区倾情打造
Available Tools
12 toolscreate_fieldB
Create a new field in a table
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base | |
| table_id | Yes | ID of the table | |
| field | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose behavioral traits like whether the field is added to the table schema immediately, if it affects existing records, or any required permissions. Minimal information.
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, front-loaded with the key action and resource. However, it could be slightly more informative without losing conciseness.
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 the nested field object and no output schema, the description is too minimal. It does not explain what happens after creation, return values, or error conditions.
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?
Input schema has 67% coverage with descriptions for parameters. The tool description adds no additional meaning beyond what the schema provides, so baseline 3 is appropriate.
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 clearly states the action (Create) and resource (new field in a table), which distinguishes it from sibling tools like create_record or update_field.
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 on when to use this tool versus alternatives such as update_field (for modifying an existing field) or creating records. The description lacks context for decision-making.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_recordB
Create a new record in a table
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base | |
| table_name | Yes | Name of the table | |
| fields | Yes | Record fields as key-value pairs |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must fully disclose behavioral traits, but it does not mention what happens after creation (e.g., returned record ID), error conditions, authentication requirements, or rate limits. The description is too brief to inform the agent about the tool's behavior beyond the basic action.
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. However, it could be slightly expanded to include essential context 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?
The description lacks critical context: it does not specify what the tool returns (e.g., ID of created record), that base and table must exist, or any constraints on fields. Given the presence of sibling tools and no output schema, the description is incomplete for an agent to use reliably.
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 input schema already provides clear descriptions for all three parameters (base_id, table_name, fields), so the description does not add much value for parameters. The schema coverage is 100%, earning a baseline of 3.
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 clearly states the action (Create), the resource (a new record), and the context (in a table). It distinguishes from siblings like 'update_record' and 'delete_record', and also from 'batch_create_records' which implies bulk creation.
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 like 'batch_create_records' for bulk creation, or prerequisites such as requiring the base and table to exist. The description lacks any usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_tableC
Create a new table in a base
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base | |
| table_name | Yes | Name of the new table | |
| description | No | Description of the table | |
| fields | No | Initial fields for the table |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description is minimal and does not disclose behavioral traits beyond the core action. With no annotations available, the description should explain aspects like whether the operation is reversible, if it requires specific permissions, or what happens if a table with the same name exists. None of these are addressed.
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, concise sentence that efficiently conveys the tool's purpose. There is no unnecessary information, and it is appropriately front-loaded.
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 absence of an output schema and annotations, the description should cover more contextual aspects such as return values, error conditions, or the effect of optional parameters. The current description is too brief for a tool with four parameters and no output schema, leaving significant gaps in understanding.
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 input schema provides full descriptions for all four parameters, so the baseline is 3. The description does not add additional meaning or context beyond what the schema already offers. For example, it does not clarify how the 'fields' parameter affects the table creation or provide examples.
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 clearly states that the tool creates a new table in a base. While it is specific enough to distinguish from tools like 'create_field' or 'create_record', it lacks explicit differentiation that could help an agent immediately decide when to use this tool over similar ones. The verb and resource are clear.
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 usage guidelines are provided. The description does not indicate when to use this tool versus alternatives such as 'create_field' or 'update_table'. It also does not mention prerequisites or context where this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
delete_recordC
Delete a record from a table
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base | |
| table_name | Yes | Name of the table | |
| record_id | Yes | ID of the record to delete |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description only mentions 'delete', which implies mutation. It fails to disclose irreversibility, confirmation requirements, or any 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with no fluff. However, it could be slightly more informative without sacrificing conciseness.
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 the presence of many sibling tools (e.g., batch_delete_records, create_record, update_record), the description is incomplete. It does not explain the prerequisite base/table context or confirm that this is for single records.
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?
All 3 parameters are described in the schema (100% coverage), so the description adds no additional meaning beyond what the schema already provides.
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 states the action (delete) and the resource (record from a table), clearly distinguishing it from create, update, or batch operations. However, it does not differentiate from other delete tools like batch_delete_records.
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 such as batch_delete_records or update_record. The context of usage (single record deletion) is only implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_recordB
Get a single record by its ID
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base | |
| table_name | Yes | Name of the table | |
| record_id | Yes | ID of the record to retrieve |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description must disclose behavior. It only states the tool gets a record, without mentioning it's a safe read operation, permissions, or side effects. Minimal 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?
Single sentence with no waste, but very sparse. Could include more structure (e.g., what is returned) without losing conciseness.
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?
No output schema, no annotations, and the description is too bare. It does not explain return values, constraints, or how it fits with sibling tools. Incomplete for the tool's complexity.
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?
Input schema has 100% coverage, so the schema already describes parameters adequately. The description adds no extra meaning beyond what is in the schema.
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 clearly states 'Get a single record by its ID', using a specific verb and resource. It distinguishes from siblings like list_records (which returns multiple) and search_records.
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 on when to use this tool versus alternatives like list_records or search_records. The description does not mention context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_basesA
List all accessible Airtable bases
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description implies read-only behavior but doesn't explicitly state it or mention any constraints like pagination. Adequate for a simple listing.
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?
Single concise sentence with no unnecessary words.
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?
For a tool with zero parameters and no output schema, the description adequately conveys the core functionality. Could mention return format, but not critical.
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?
No parameters, baseline 4. Description adds no parameter info but none needed.
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 'List all accessible Airtable bases' clearly specifies the action (list) and the resource (Airtable bases), distinguishing it from sibling tools like list_tables or list_records.
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 explicit guidance on when to use or when not. However, for a simple list tool with no parameters, the usage is straightforward and implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_recordsC
List records in a table
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base | |
| table_name | Yes | Name of the table | |
| max_records | No | Maximum number of records to return |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, pagination, or any side effects. The description assumes a straightforward list operation but leaves important details implicit.
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 extremely concise (4 words), but it is under-specified. Important information such as scope (all records vs filtered) and behavioral details are missing, making it insufficiently informative for the agent.
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 presence of sibling tools and no output schema or annotations, the description lacks completeness. It does not explain return format, pagination, or differentiation from similar tools, leaving agents with insufficient context to use the tool correctly.
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 input schema has 100% description coverage, so the baseline is 3. The description does not add any additional meaning beyond what is already in the schema. Parameters are adequately described in the schema, but the description offers no extra context.
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 clearly states the action (list) and resource (records in a table). It is specific enough for basic understanding, but does not differentiate from sibling tools like advanced_list_records, which may offer additional filtering options.
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 such as advanced_list_records or search_records. The description lacks any context about appropriate use cases or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_tablesB
List all tables in a base
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description does not disclose behavioral traits such as read-only nature, required permissions, or side effects, leaving the agent uninformed.
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?
Single short sentence with no wasted words, efficient and front-loaded.
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?
For a simple tool with one parameter and no output schema, the description is minimally adequate but lacks details on return format, pagination, or error handling.
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 coverage is 100% for the single parameter base_id, which is already described in the schema. The description adds no additional semantic meaning.
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 clearly states the verb 'list', resource 'tables', and scope 'in a base', making it distinct from sibling tools like list_records or list_fields.
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 on when to use this tool versus alternatives, nor any exclusions or prerequisites. Implied usage only.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_recordsB
Search for records in a table
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base | |
| table_name | Yes | Name of the table | |
| field_name | Yes | Name of the field to search in | |
| value | Yes | Value to search for |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations available, the description carries the full burden for behavioral disclosure. It only states 'search' without mentioning pagination, limits, security implications, or any side effects, providing minimal 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 concise sentence that is easy to parse. While it is functional, it lacks structure or front-loaded key constraints. It is appropriately sized but could be more informative 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 complexity of the tool (4 required parameters) and the absence of an output schema or annotations, the description is too brief to be contextually complete. It does not explain expected results, error conditions, or usage context.
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%, so the input schema already fully explains each parameter. The description adds no additional semantic value beyond the schema, meeting the baseline but not exceeding it.
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 clearly states 'Search for records in a table', which is a specific verb-resource combination. It distinguishes from siblings like 'list_records' by implying filtering criteria, making the purpose unambiguous.
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 such as 'advanced_list_records' or 'get_record'. The description lacks context for appropriate usage, exclusions, or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update_fieldC
Update a field in a table
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base | |
| table_id | Yes | ID of the table | |
| field_id | Yes | ID of the field to update | |
| updates | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description does not disclose behavioral traits like idempotency, error handling, permissions, or response behavior. This is insufficient for a mutation operation.
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 concise sentence, but it is too brief to cover necessary details. It is structured but lacks substance.
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 the tool (4 parameters, nested updates object, no output schema), the description is incomplete. It omits important context about how updates are applied, which fields are optional, and error scenarios.
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 75%, and the descriptions for base_id, table_id, field_id, and the updates object are adequate but generic. The tool description adds no extra semantic value beyond the schema.
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 clearly states the verb 'Update' and the resource 'field in a table', which distinguishes it from sibling tools like create_field or update_record. However, it lacks specificity about which field properties can be updated.
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 on when to use this tool versus alternatives such as update_record or create_field. There are no prerequisites or contexts provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update_recordB
Update an existing record in a table
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base | |
| table_name | Yes | Name of the table | |
| record_id | Yes | ID of the record to update | |
| fields | Yes | Record fields to update as key-value pairs |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden. It only states 'Update an existing record' without disclosing what happens if the record is not found, what fields can be updated, whether partial updates are allowed, or any authentication requirements.
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 concise sentence with no extraneous words. However, it could potentially include more information without losing conciseness, so it's not the most efficient use of space.
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 (4 required parameters, nested object) and lack of annotations or output schema, the description is too minimal. It does not explain return values, error handling, or the scope of updates, leaving significant gaps for the 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%, so the input schema already defines each parameter. The description adds no additional meaning beyond what the schema provides, resulting in a baseline score of 3.
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 'Update an existing record in a table' clearly states the verb (update) and resource (record in a table). It distinguishes from siblings like 'create_record' (create) and 'batch_update_records' (batch), making the tool's purpose specific and unambiguous.
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 on when to use this tool vs alternatives such as 'batch_update_records' (for multiple records) or 'create_record' (for new records). No prerequisites or when-not-to-use hints are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update_tableC
Update a table's schema
| Name | Required | Description | Default |
|---|---|---|---|
| base_id | Yes | ID of the base | |
| table_id | Yes | ID of the table to update | |
| name | No | New name for the table | |
| description | No | New description for the table |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only states the action. It does not disclose whether updates are idempotent, require special permissions, or affect existing data. The optional parameters suggest partial updates, but this is not explained.
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 sentence with no wasted words, but it could be slightly expanded to include usage context without losing conciseness.
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 tool has 4 parameters, no output schema, and no annotations, the description is insufficient for an agent to fully understand when and how to use it. Sibling tools exist but no differentiation is provided.
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 coverage is 100%, so the parameter meanings are clear from the schema. The description adds no extra context beyond what is in the schema, such as constraints on name or description values.
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 'Update a table's schema' clearly states the action and resource, and distinguishes from sibling tools like update_field and update_view. However, 'schema' could be misinterpreted as structural schema changes, while the parameters only allow updating name and description.
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 like update_field or update_view. No context about prerequisites or typical use cases is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
12 tool updates
v1.0.0- First observed
create_field - First observed
create_record - First observed
create_table - First observed
delete_record - First observed
get_record - First observed
list_bases - First observed
list_records - First observed
list_tables - First observed
search_records - First observed
update_field - First observed
update_record - First observed
update_table
TDQS
Scored across 12 tools
Every tool has a clearly distinct purpose targeting specific resources (bases, tables, fields, records) and actions (create, list, get, update, delete, search), with no ambiguity or overlap. For example, list_records and search_records are differentiated by listing all versus searching with criteria.
All tools follow a consistent verb_noun pattern using snake_case, such as create_record, list_tables, and update_field. This predictable naming scheme makes it easy for agents to understand and select the correct tool based on the intended action and resource.
With 12 tools, the server is well-scoped for managing Airtable resources, covering bases, tables, fields, and records. Each tool earns its place by providing essential CRUD and listing operations without being overly sparse or bloated.
The tool set offers complete CRUD/lifecycle coverage for the Airtable domain, including create, list, get, update, and delete operations for bases, tables, fields, and records, plus search functionality. There are no obvious gaps that would cause agent failures in typical workflows.
Maintenance
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