pocketbase-mcp-server
Servidor MCP PocketBase avanzado
Un servidor MCP integral que proporciona herramientas sofisticadas para interactuar con bases de datos de PocketBase. Este servidor permite operaciones avanzadas de bases de datos, gestión de esquemas y manipulación de datos mediante el Protocolo de Contexto de Modelo (MCP).
Registro de cambios
v2.1.0 (3 de abril de 2025)
Agregado
Se agregó la herramienta
batch_update_recordspara actualizar varios registros a la vez.Se agregó la herramienta
batch_delete_recordspara eliminar varios registros a la vez.Se agregó la herramienta
subscribe_to_collectionpara suscripciones a eventos en tiempo real (requiere polyfilleventsource).
Fijado
Se corrigió el esquema para
authenticate_userpara permitir la autenticación de administrador a través de variables de entorno sin correo electrónico o contraseña explícitos.Se agregó la dependencia
eventsourcey polyfill para habilitar suscripciones en tiempo real en Node.js.
v2.0.0 (2 de abril de 2025)
Agregado
Soporte mejorado de autenticación de administrador con variables de entorno
Se agregó soporte para la suplantación de administrador a través de la herramienta
impersonate_userManejo mejorado de errores para operaciones de autenticación
Se agregaron definiciones de tipos de TypeScript completas para una mejor experiencia de desarrollo
Se agregó soporte para la integración de Cline
Fijado
Se corrigieron errores de TypeScript en la implementación del cliente PocketBase
Manejo mejorado de campos de esquema con anotaciones de tipo adecuadas
Se solucionaron problemas con las propiedades de campos de esquema opcionales
Cambió
Se actualizó el flujo de autenticación para admitir múltiples métodos de autenticación.
Documentación mejorada con ejemplos más detallados
Opciones de configuración de variables de entorno mejoradas
Related MCP server: PocketBase MCP Server
Características
Gestión de cobros
Crear y administrar colecciones con esquemas personalizados
Migrar esquemas de recopilación con preservación de datos
Gestión avanzada de índices (crear, eliminar, listar)
Validación de esquemas y seguridad de tipos
Recuperar esquemas de colección y metadatos
Operaciones de registro
Operaciones CRUD para registros
Consultas avanzadas con filtrado, ordenación y agregación
Capacidades de importación y exportación por lotes
Apoyo para la expansión de relaciones
Paginación y navegación basada en cursor
Gestión de usuarios
Autenticación de usuarios y gestión de tokens
Creación y gestión de cuentas de usuario
Gestión de contraseñas
Control de acceso basado en roles
Manejo de sesiones
Operaciones de base de datos
Copia de seguridad y restauración de bases de datos
Múltiples formatos de exportación (JSON/CSV)
Herramientas de migración de datos
Optimización de índices
Operaciones por lotes
Herramientas disponibles
Gestión de cobros
create_collection: Crea una nueva colección con un esquema personalizadoget_collection_schema: Obtener detalles del esquema para una colecciónmigrate_collection: Migrar el esquema de colección con preservación de datosmanage_indexes: Crea, elimina o enumera índices de colección
Operaciones de registro
create_record: Crea un nuevo registro en una colecciónlist_records: Lista de registros con filtros y paginación opcionalesupdate_record: Actualizar un registro existentedelete_record: Eliminar un registroquery_collection: consulta avanzada con filtrado, ordenación y agregaciónbatch_update_records: Actualizar varios registros en una sola llamadabatch_delete_records: elimina varios registros en una sola llamadasubscribe_to_collection: Suscribirse a los cambios en tiempo real en una colección (requiere el paqueteeventsourceen el entorno Node.js)import_data: Importa datos a una colección con modos de creación, actualización y actualización.
Gestión de usuarios
authenticate_user: Autenticar un usuario y obtener el token de autenticacióncreate_user: Crea una nueva cuenta de usuariolist_auth_methods: enumera todos los métodos de autenticación disponiblesauthenticate_with_oauth2: Autenticar un usuario con OAuth2authenticate_with_otp: Autenticar un usuario con una contraseña de un solo usoauth_refresh: Actualizar el token de autenticaciónrequest_verification: Solicitar verificación de correo electrónicoconfirm_verification: Confirmar la verificación del correo electrónico con el tokenrequest_password_reset: Solicitar restablecimiento de contraseñaconfirm_password_reset: Confirmar el restablecimiento de contraseña con tokenrequest_email_change: Solicitar cambio de correo electrónicoconfirm_email_change: Confirmar el cambio de correo electrónico con el tokenimpersonate_user: Suplantar la identidad de otro usuario (solo administrador)
Operaciones de base de datos
backup_database: Crea una copia de seguridad de la base de datos de PocketBase con opciones de formatoimport_data: Importa datos con varios modos (crear/actualizar/insertar)
Configuración
El servidor requiere las siguientes variables de entorno:
POCKETBASE_URL: URL de su instancia de PocketBase (por ejemplo, " http://127.0.0.1:8090 ")
Variables de entorno opcionales:
POCKETBASE_ADMIN_EMAIL: Correo electrónico de administrador para ciertas operacionesPOCKETBASE_ADMIN_PASSWORD: Contraseña de administradorPOCKETBASE_DATA_DIR: Ruta del directorio de datos personalizado
Ejemplos de uso
Gestión de cobros
// Create a new collection
await mcp.use_tool("pocketbase", "create_collection", {
name: "posts",
schema: [
{
name: "title",
type: "text",
required: true
},
{
name: "content",
type: "text",
required: true
}
]
});
// Manage indexes
await mcp.use_tool("pocketbase", "manage_indexes", {
collection: "posts",
action: "create",
index: {
name: "title_idx",
fields: ["title"],
unique: true
}
});Consultas avanzadas
// Query with filtering, sorting, and aggregation
await mcp.use_tool("pocketbase", "query_collection", {
collection: "posts",
filter: "created >= '2024-01-01'",
sort: "-created",
aggregate: {
totalLikes: "sum(likes)",
avgRating: "avg(rating)"
},
expand: "author,categories"
});Importación/exportación de datos
// Import data with upsert mode
await mcp.use_tool("pocketbase", "import_data", {
collection: "posts",
data: [
{
title: "First Post",
content: "Hello World"
},
{
title: "Second Post",
content: "More content"
}
],
mode: "upsert"
});
// Backup database
await mcp.use_tool("pocketbase", "backup_database", {
format: "json" // or "csv"
});Migración de esquemas
// Migrate collection schema
await mcp.use_tool("pocketbase", "migrate_collection", {
collection: "posts",
newSchema: [
{
name: "title",
type: "text",
required: true
},
{
name: "content",
type: "text",
required: true
},
{
name: "tags",
type: "json",
required: false
}
],
dataTransforms: {
// Optional field transformations during migration
tags: "JSON.parse(oldTags)"
}
});Operaciones por lotes y en tiempo real
// Batch update records
await mcp.use_tool("pocketbase", "batch_update_records", {
collection: "products",
records: [
{ id: "record_id_1", data: { price: 19.99 } },
{ id: "record_id_2", data: { status: "published" } }
]
});
// Batch delete records
await mcp.use_tool("pocketbase", "batch_delete_records", {
collection: "products",
recordIds: ["record_id_3", "record_id_4"]
});
// Subscribe to collection changes (logs events to server console)
// Note: Requires 'eventsource' package installed in the Node.js environment running the server.
await mcp.use_tool("pocketbase", "subscribe_to_collection", {
collection: "products"
});
// Subscribe to a specific record
await mcp.use_tool("pocketbase", "subscribe_to_collection", {
collection: "products",
recordId: "specific_product_id"
});Métodos de autenticación
// List available authentication methods
await mcp.use_tool("pocketbase", "list_auth_methods", {
collection: "users"
});
// Authenticate with password
await mcp.use_tool("pocketbase", "authenticate_user", {
email: "user@example.com",
password: "securepassword",
collection: "users"
});
// Authenticate with OAuth2
await mcp.use_tool("pocketbase", "authenticate_with_oauth2", {
provider: "google",
code: "auth_code_from_provider",
codeVerifier: "code_verifier_from_pkce",
redirectUrl: "https://your-app.com/auth/callback",
collection: "users"
});
// Request password reset
await mcp.use_tool("pocketbase", "request_password_reset", {
email: "user@example.com",
collection: "users"
});
// Confirm password reset
await mcp.use_tool("pocketbase", "confirm_password_reset", {
token: "verification_token",
password: "new_password",
passwordConfirm: "new_password",
collection: "users"
});
// Refresh authentication token
await mcp.use_tool("pocketbase", "auth_refresh", {
collection: "users"
});Manejo de errores
Todas las herramientas incluyen un completo sistema de gestión de errores con mensajes detallados. Los errores se tipifican correctamente e incluyen:
Errores de solicitud no válida
Errores de autenticación
Errores de operación de la base de datos
Errores de validación del esquema
Errores de red
Seguridad de tipos
El servidor incluye definiciones de TypeScript para todas las operaciones, lo que garantiza la seguridad de tipos al usar las herramientas. El esquema de entrada de cada herramienta está estrictamente tipado y validado.
Mejores prácticas
Utilice siempre un manejo de errores adecuado con los bloques try/catch
Validar datos antes de realizar operaciones
Utilice índices apropiados para un mejor rendimiento de las consultas
Realice copias de seguridad periódicas de su base de datos
Utilice migraciones para cambios de esquema
Siga las mejores prácticas de seguridad para la gestión de usuarios
Supervisar y optimizar el rendimiento de la base de datos
Desarrollo
Clonar el repositorio
Instalar dependencias:
npm installCopiar
.env.examplea.envy configurarConstruir:
npm run buildInicie su instancia de PocketBase
El servidor MCP se conectará automáticamente a su instancia de PocketBase
Instalación mediante herrería
Para instalar PocketBase Server para Claude Desktop automáticamente a través de Smithery :
npx -y @smithery/cli install pocketbase-server --client claudeContribuyendo
Bifurcar el repositorio
Crear una rama de características
Confirme sus cambios
Empujar hacia la rama
Crear una solicitud de extracción
Available Tools
14 toolscreate_recordD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_stripe_customerB
Create a new customer in Stripe
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. 'Create' implies a write/mutation operation, but it doesn't disclose behavioral traits like required permissions, rate limits, error handling, or what happens on success/failure. It minimally meets baseline by stating the 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, clear sentence with zero waste. It's front-loaded with the essential action and resource, making it highly efficient and easy to parse.
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 0 parameters and no output schema, the description is minimally complete—it states what the tool does. However, as a mutation tool with no annotations, it lacks context about behavior, errors, or output, leaving gaps that could hinder effective use.
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 0 parameters, so no parameter documentation is needed. The description doesn't add parameter details, but with no parameters to explain, it appropriately avoids redundancy, earning a high baseline score.
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 customer in Stripe'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'create_stripe_product' or 'create_stripe_payment_intent' beyond the resource type, which prevents a perfect score.
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, when-not-to-use scenarios, or comparisons to siblings like 'create_record' or 'send_custom_email', leaving the agent to infer context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_stripe_payment_intentB
Create a Stripe payment intent for processing payments
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. 'Create' implies a write operation, but it doesn't disclose behavioral traits like authentication requirements, rate limits, idempotency, or what happens on failure. It adds minimal context 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 zero waste. It's appropriately sized for a simple creation tool and front-loads the core 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 no annotations, no output schema, and 0 parameters, the description is minimally complete. It states what the tool does but lacks context about the Stripe integration, expected outcomes, error handling, or dependencies. For a payment processing tool, more detail would be helpful despite the simple parameter structure.
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 0 parameters (properties object is empty), so there are no parameters to document. The description doesn't need to compensate for any schema gaps. Baseline 4 is appropriate since no parameters exist, though it could theoretically mention implicit requirements not in 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 action ('create') and resource ('Stripe payment intent') with the purpose 'for processing payments'. It distinguishes from siblings like create_stripe_customer or create_stripe_product by specifying the payment intent type. However, it doesn't explicitly differentiate from generic create_record or other payment-related tools that might exist.
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 a Stripe customer first), when not to use it (e.g., for subscriptions vs one-time payments), or refer to sibling tools like create_stripe_customer that might be needed first.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_stripe_productD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
discover_toolsD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_collectionD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_recordD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
health_checkD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_collectionsD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_recordsD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
send_custom_emailD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
send_templated_emailD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
smithery_discoveryD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
test_toolD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no 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?
Tool has no description.
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.
14 tool updates
v1.0.0- First observed
create_record - First observed
create_stripe_customer - First observed
create_stripe_payment_intent - First observed
create_stripe_product - First observed
discover_tools - First observed
get_collection - First observed
get_record - First observed
health_check - First observed
list_collections - First observed
list_records - First observed
send_custom_email - First observed
send_templated_email - First observed
smithery_discovery - First observed
test_tool
TDQS
Scored across 14 tools
The tools have some clear distinctions, like Stripe operations vs. PocketBase CRUD vs. email functions, but there is ambiguity within groups. For example, 'send_custom_email' and 'send_templated_email' could overlap in purpose, and 'discover_tools' vs. 'smithery_discovery' might confuse agents about their specific roles. Overall, descriptions are sparse, making it harder to differentiate tools fully.
Most tools follow a consistent verb_noun pattern, such as 'create_record', 'get_collection', and 'list_records'. However, there are minor deviations like 'health_check' (snake_case but could be 'check_health' for consistency) and 'smithery_discovery' (which uses a proper noun prefix). The naming is largely predictable but not perfectly uniform.
With 14 tools, the count is reasonable for a server that combines PocketBase database operations, Stripe integrations, and email functionalities. It's slightly on the higher side but still manageable, as each tool appears to serve a distinct purpose within its domain without obvious bloat.
For PocketBase operations, there is basic CRUD coverage (create, get, list for records and collections), but missing update and delete tools creates a notable gap. The Stripe tools cover customer, payment intent, and product creation, but lack retrieval or management functions. Email tools are present but without descriptions, it's unclear if they cover all needed scenarios. Overall, the surface is functional but has incomplete lifecycle coverage.
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