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mcp-turso-cloud

Name: mcp-turso-cloud
Author: spences10

by spences10

Overview Schema Source Related Servers Discussions Admin

TypeScript

Remote

mcp-turso-cloud

Un servidor de Protocolo de Contexto de Modelo (MCP) que proporciona integración con las bases de datos de Turso para los LLM. Este servidor implementa un sistema de autenticación de dos niveles para gestionar operaciones tanto a nivel de organización como de base de datos, lo que facilita la gestión y consulta de las bases de datos de Turso directamente desde los LLM.

Características

Operaciones a nivel de organización

Lista de bases de datos : vea todas las bases de datos en su organización Turso
Crear base de datos : crea nuevas bases de datos con opciones personalizables
Eliminar base de datos : elimine bases de datos de su organización
Generar token de base de datos : crea tokens de autenticación para bases de datos específicas

Operaciones a nivel de base de datos

Lista de tablas : ver todas las tablas en una base de datos específica
Ejecutar consulta de solo lectura : ejecutar consultas SELECT y PRAGMA (operaciones de solo lectura)
Ejecutar consulta : ejecuta consultas SQL potencialmente destructivas (INSERTAR, ACTUALIZAR, ELIMINAR, etc.)
Describir tabla : obtener información del esquema para las tablas de la base de datos
Búsqueda de vectores : realice una búsqueda de similitud de vectores utilizando extensiones de vectores de SQLite

Related MCP server: Supabase MCP Server

⚠️ IMPORTANTE: Seguridad en la ejecución de consultas ⚠️

Este servidor implementa una separación centrada en la seguridad entre operaciones de base de datos de solo lectura y destructivas:

Utilice execute_read_only_query para consultas SELECT y PRAGMA (operaciones seguras de solo lectura)
Utilice execute_query para INSERTAR, ACTUALIZAR, ELIMINAR, CREAR, ELIMINAR y otras operaciones que modifican datos

Esta separación permite diferentes niveles de permisos y requisitos de aprobación:

Las operaciones de solo lectura se pueden aprobar automáticamente en muchos contextos
Las operaciones destructivas pueden requerir una aprobación explícita por motivos de seguridad.

¡SIEMPRE LEA Y REVISE CUIDADOSAMENTE LAS CONSULTAS SQL ANTES DE APROBARLAS! Esto es especialmente crucial para operaciones destructivas que pueden modificar o eliminar datos. Tómese su tiempo para comprender la función de cada consulta antes de permitir su ejecución.

Sistema de autenticación de dos niveles

El servidor implementa un sofisticado sistema de autenticación:

Autenticación a nivel de organización
- Utiliza un token API de la plataforma Turso
- Administra bases de datos y operaciones a nivel de organización.
- Obtenido a través del panel de Turso
Autenticación a nivel de base de datos
- Utiliza tokens específicos de la base de datos
- Generado automáticamente utilizando el token de la organización
- Almacenado en caché para mejorar el rendimiento y rotado según sea necesario

Configuración

Este servidor requiere configuración a través de su cliente MCP. A continuación, se muestran ejemplos para diferentes entornos:

Configuración de escritorio de Cline/Claude

Agregue esto a su configuración MCP de Cline/Claude Desktop:

{
	"mcpServers": {
		"mcp-turso-cloud": {
			"command": "npx",
			"args": ["-y", "mcp-turso-cloud"],
			"env": {
				"TURSO_API_TOKEN": "your-turso-api-token",
				"TURSO_ORGANIZATION": "your-organization-name",
				"TURSO_DEFAULT_DATABASE": "optional-default-database"
			}
		}
	}
}

Escritorio Claude con configuración WSL

Para entornos WSL, agregue esto a su configuración de Claude Desktop:

{
	"mcpServers": {
		"mcp-turso-cloud": {
			"command": "wsl.exe",
			"args": [
				"bash",
				"-c",
				"TURSO_API_TOKEN=your-token TURSO_ORGANIZATION=your-org node /path/to/mcp-turso-cloud/dist/index.js"
			]
		}
	}
}

Variables de entorno

El servidor requiere las siguientes variables de entorno:

TURSO_API_TOKEN : Su token de API de la plataforma Turso (obligatorio)
TURSO_ORGANIZATION : Nombre de su organización Turso (obligatorio)
TURSO_DEFAULT_DATABASE : Base de datos predeterminada que se utilizará cuando no se especifique ninguna (opcional)
TOKEN_EXPIRATION : Tiempo de expiración de los tokens de base de datos generados (opcional, predeterminado: '7d')
TOKEN_PERMISSION : Nivel de permiso para los tokens generados (opcional, predeterminado: 'acceso completo')

API

El servidor implementa herramientas MCP organizadas por categoría:

Herramientas de organización

lista_bases_de_datos

Enumera todas las bases de datos de su organización Turso.

Parámetros: Ninguno

Ejemplo de respuesta:

{
	"databases": [
		{
			"name": "customer_db",
			"id": "abc123",
			"region": "us-east",
			"created_at": "2023-01-15T12:00:00Z"
		},
		{
			"name": "product_db",
			"id": "def456",
			"region": "eu-west",
			"created_at": "2023-02-20T15:30:00Z"
		}
	]
}

crear_base_de_datos

Crea una nueva base de datos en su organización.

Parámetros:

name (cadena, obligatorio): nombre para la nueva base de datos
group (cadena, opcional): Grupo al que asignar la base de datos
regions (cadena[], opcional): regiones donde se implementará la base de datos

Ejemplo:

{
	"name": "analytics_db",
	"group": "production",
	"regions": ["us-east", "eu-west"]
}

eliminar_base_de_datos

Elimina una base de datos de su organización.

Parámetros:

name (cadena, obligatorio): nombre de la base de datos a eliminar

Ejemplo:

{
	"name": "test_db"
}

generar_token_de_base_de_datos

Genera un nuevo token para una base de datos específica.

Parámetros:

database (cadena, obligatoria): nombre de la base de datos
expiration (cadena, opcional): tiempo de expiración del token
permission (cadena, opcional): nivel de permiso ('acceso completo' o 'solo lectura')

Ejemplo:

{
	"database": "customer_db",
	"expiration": "30d",
	"permission": "read-only"
}

Herramientas de base de datos

listas_de_tablas

Enumera todas las tablas de una base de datos.

Parámetros:

database (cadena, opcional): nombre de la base de datos (usa el contexto si no se proporciona)

Ejemplo:

{
	"database": "customer_db"
}

ejecutar consulta de solo lectura

Ejecuta una consulta SQL de solo lectura (SELECT, PRAGMA) en una base de datos.

Parámetros:

query (cadena, obligatoria): consulta SQL a ejecutar (debe ser SELECT o PRAGMA)
params (objeto, opcional): parámetros de consulta
database (cadena, opcional): nombre de la base de datos (usa el contexto si no se proporciona)

Ejemplo:

{
	"query": "SELECT * FROM users WHERE age > ?",
	"params": { "1": 21 },
	"database": "customer_db"
}

ejecutar_consulta

Ejecuta una consulta SQL potencialmente destructiva (INSERTAR, ACTUALIZAR, ELIMINAR, CREAR, etc.) contra una base de datos.

Parámetros:

query (cadena, obligatoria): consulta SQL a ejecutar (no puede ser SELECT o PRAGMA)
params (objeto, opcional): parámetros de consulta
database (cadena, opcional): nombre de la base de datos (usa el contexto si no se proporciona)

Ejemplo:

{
	"query": "INSERT INTO users (name, age) VALUES (?, ?)",
	"params": { "1": "Alice", "2": 30 },
	"database": "customer_db"
}

describe_tabla

Obtiene información del esquema de una tabla.

Parámetros:

table (cadena, obligatoria): nombre de la tabla
database (cadena, opcional): nombre de la base de datos (usa el contexto si no se proporciona)

Ejemplo:

{
	"table": "users",
	"database": "customer_db"
}

búsqueda_vectorial

Realiza búsquedas de similitud vectorial utilizando extensiones vectoriales SQLite.

Parámetros:

table (cadena, obligatoria): nombre de la tabla
vector_column (cadena, obligatoria): columna que contiene vectores
query_vector (número[], obligatorio): vector de consulta para búsqueda de similitud
limit (número, opcional): Número máximo de resultados (predeterminado: 10)
database (cadena, opcional): nombre de la base de datos (usa el contexto si no se proporciona)

Ejemplo:

{
	"table": "embeddings",
	"vector_column": "embedding",
	"query_vector": [0.1, 0.2, 0.3, 0.4],
	"limit": 5,
	"database": "vector_db"
}

Desarrollo

Configuración

Clonar el repositorio
Instalar dependencias:

npm install

Construir el proyecto:

npm run build

Ejecutar en modo de desarrollo:

npm run dev

Publicación

Actualizar la versión en package.json
Construir el proyecto:

npm run build

Publicar en npm:

npm publish

Solución de problemas

Problemas con el token API

Si encuentra errores de autenticación:

Verifique que su token API de Turso sea válido y tenga los permisos necesarios
Compruebe que el nombre de su organización sea correcto
Asegúrese de que su token no haya expirado

Problemas de conexión a la base de datos

Si tiene problemas para conectarse a las bases de datos:

Verifique que la base de datos exista en su organización
Comprueba que tu token API tenga acceso a la base de datos
Asegúrese de que el nombre de la base de datos esté escrito correctamente

Contribuyendo

¡Agradecemos sus contribuciones! No dude en enviar una solicitud de incorporación de cambios.

Licencia

Licencia MIT: consulte el archivo LICENCIA para obtener más detalles.

Expresiones de gratitud

Construido sobre:

Available Tools

9 tools

create_database✓ SAFE: Create a new database in your Turso organization. Database name must be unique.C

✓ SAFE: Create a new database in your Turso organization. Database name must be unique.

ParametersJSON Schema

Name	Required	Description
`name`	Yes	Name of the database to create - Must be unique within organization
`group`	No	Optional group name for the database (defaults to "default")
`regions`	No	Optional list of regions to deploy the database to (affects latency and compliance)

TDQS

C2.4/5.0

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. It mentions 'SAFE' but does not explain any behavioral traits such as mutability, error handling, permissions, or idempotency. The unique name constraint is the only behavioral hint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with a single sentence that conveys the core purpose. However, it is identical to the title, which could be seen as redundant.

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?

Given no output schema, no annotations, and 3 parameters, the description should provide more context about return values or side effects. It does not address what happens after creation or any error conditions.

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?

The input schema has 100% description coverage, so baseline is 3. The description adds the unique name constraint, which is already in the schema description. No additional context is provided for 'group' or 'regions' parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

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, nor does it mention prerequisites or when not to use it. It simply states what it does.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

delete_database⚠️ DESTRUCTIVE: Permanently deletes a database and ALL its data. Cannot be undone. Always confirm with user before proceeding and verify correct database name.B

⚠️ DESTRUCTIVE: Permanently deletes a database and ALL its data. Cannot be undone. Always confirm with user before proceeding and verify correct database name.

ParametersJSON Schema

Name	Required	Description	Default
`name`	Yes	Name of the database to permanently delete - WARNING: ALL DATA WILL BE LOST FOREVER

TDQS

B3.3/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It explicitly states the destructive and irreversible nature: 'Permanently deletes' and 'Cannot be undone.' This sufficiently discloses the critical behavior, though it omits details like permissions or error handling. The warning about confirmation adds transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is repeated from the title, which is concise but slightly redundant. It is front-loaded with a warning. While efficient, it could be more structured (e.g., separate into purpose and caution). Loses a point for repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description should clarify what the tool returns (e.g., success confirmation). It lacks details on return value, error states, or post-deletion effects. For a destructive tool with a simple interface, it is moderately complete but could be improved.

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 description coverage is 100%. The parameter description 'Name of the database to permanently delete - WARNING: ALL DATA WILL BE LOST FOREVER' adds emphasis but does not provide additional semantic meaning beyond the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a strong usage guideline: 'Always confirm with user before proceeding and verify correct database name.' This directs the agent to take caution but does not explicitly state when to avoid using the tool or mention alternatives. The context of sibling tools implies it is only for deletion, so the guideline is clear but not comprehensive.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

describe_tableGets schema information for a tableC

Gets schema information for a table

ParametersJSON Schema

Name	Required	Description	Default
`table`	Yes	Table name
`database`	No	Database name (optional, uses context if not provided)

TDQS

C2.4/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description carries the full burden of behavioral disclosure. It implies a read-only operation by using 'Gets', but it does not explicitly state that the tool is non-destructive, requires no special permissions, or has 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with one verb and one phrase, making it very concise. It front-loads the purpose without extraneous information, though it could be slightly expanded to include behavioral details.

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?

Given the absence of an output schema and annotations, the description should compensate by explaining what the schema information includes (e.g., columns, types, constraints). It does not, leaving the agent to guess the return format, which is inadequate for effective tool selection.

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?

The input schema covers 100% of parameters with descriptions, so the schema provides the necessary meaning. The description adds no extra information about parameters beyond what is already in the schema, which meets the baseline for this dimension.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

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, nor does it mention prerequisites or exclusions. It only states what the tool does, leaving the agent to infer usage context from the tool name and sibling list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

execute_query⚠️ DESTRUCTIVE: Execute SQL that can modify/delete data (INSERT, UPDATE, DELETE, DROP, ALTER). Always confirm with user before destructive operations.C

⚠️ DESTRUCTIVE: Execute SQL that can modify/delete data (INSERT, UPDATE, DELETE, DROP, ALTER). Always confirm with user before destructive operations.

ParametersJSON Schema

Name	Required	Description
`query`	Yes	SQL query to execute
`params`	No	Query parameters (optional) - Use parameterized queries for security
`database`	No	Database name (optional, uses context if not provided)

TDQS

C2.4/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses that the tool is destructive and can modify/delete data, which is critical behavioral information. Without annotations, this is the primary disclosure, but it lacks further details on side effects, permissions, or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and gets to the point, but it is a verbatim repeat of the title, making it redundant. It is concise but not optimally structured as it wastes space.

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?

For a destructive SQL execution tool with no output schema and no annotations, the description is too sparse. It does not explain return values, error behavior, or execution context, leaving significant gaps for an AI agent.

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?

The input schema has 100% description coverage with clear descriptions for each parameter. The tool description does not add any parameter-specific meaning, so the schema handles this dimension adequately.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

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 mentions confirming with the user before destructive operations, which is a useful guideline. However, it does not explicitly differentiate from the sibling 'execute_read_only_query' or state when not to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

execute_read_only_query✓ SAFE: Execute read-only SQL queries (SELECT, PRAGMA, EXPLAIN). Automatically rejects write operations.B

✓ SAFE: Execute read-only SQL queries (SELECT, PRAGMA, EXPLAIN). Automatically rejects write operations.

ParametersJSON Schema

Name	Required	Description
`query`	Yes	Read-only SQL query to execute (SELECT, PRAGMA, EXPLAIN only)
`params`	No	Query parameters (optional) - Use parameterized queries for security
`database`	No	Database name (optional, uses context if not provided) - Specify target database

TDQS

B3.4/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses the key behavioral trait of rejecting write operations, which is crucial for safety. No annotations are present, so the description carries the full burden. It does not cover error handling or performance.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, identical to the title, which is very concise. However, the repetition could be better utilized to add extra detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only query tool, the description adequately covers purpose and safety. Absence of output schema or annotation is mitigated by the clear statement of behavior, though error handling could be mentioned.

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 detailed parameter descriptions. The tool description adds no additional meaning beyond the schema, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear guidance to use this tool for read-only queries and highlights its automatic rejection of writes, but does not explicitly mention alternative tools or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

generate_database_tokenGenerate a new token for a specific databaseC

Generate a new token for a specific database

ParametersJSON Schema

Name	Required	Description	Default
`database`	Yes	Name of the database to generate a token for
`permission`	No	Permission level for the token

TDQS

C2.3/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden but only states that a token is generated. It fails to disclose behavioral traits such as whether the token is immediately valid, if it overrides existing tokens, or if special permissions are required. The lack of side-effect information is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, making it concise, but it is too brief and lacks substantive content. While not verbose, it sacrifices clarity for brevity. A slightly longer description with key details would improve understandability without being wasteful.

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?

Given the tool's simplicity (2 parameters, no nested objects) and absence of annotations or output schema, the description is incomplete. It does not mention what the tool returns (e.g., the token string), any side effects, or potential errors. The description alone is insufficient for an agent to use the tool safely.

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?

The input schema covers 100% of parameters with descriptions, so the description adds minimal extra meaning. The baseline is 3. The description does not elaborate on the 'permission' enum values or the format of the 'database' name, but the schema is already clear.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

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?

No guidance is provided on when to use this tool versus alternatives, prerequisites, or situations where it should not be used. The description lacks any context about the tool's intended use case or limitations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_databasesList all databases in your Turso organizationA

List all databases in your Turso organization

ParametersJSON Schema

Name	Required	Description	Default
No parameters

TDQS

A3.5/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden of behavioral disclosure. It implies a read-only, safe operation, but does not explicitly state that it does not modify state or require special permissions. Adequate for a simple list, but lacks explicit disclaimers.

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 sentence of 9 words, perfectly concise with no wasted words. It delivers the essential information efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (no parameters, no output schema, and a straightforward listing operation), the description provides complete context for an agent to understand its purpose and invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters, so the description does not need to explain parameters. Baseline for 0 parameters is 4, and it meets that without adding unnecessary detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implicitly indicates when to use the tool: when you need to see all databases. It does not explicitly state when not to use it or provide alternatives, but for a simple list operation, no further guidance is necessary.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_tablesLists all tables in a databaseC

Lists all tables in a database

ParametersJSON Schema

Name	Required	Description	Default
`database`	No	Database name (optional, uses context if not provided)

TDQS

C2.8/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It states the tool lists tables, implying a read-only operation, but does not disclose if it returns names only, includes system tables, or requires specific permissions. The behavior is minimally transparent.

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?

A single, clear sentence with no redundancy. Every word contributes to the purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple list tool with one optional parameter and no output schema, the description is adequate but lacks details on return format, ordering, or limitations (e.g., whether all tables include temporary tables). Some gaps remain.

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?

The input schema already describes the database parameter as optional and context-dependent. The description adds no further meaning beyond 'database', so baseline score of 3 applies (schema coverage is 100%).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., describe_table for a single table, list_databases to enumerate databases). There is no mention of prerequisites or context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

vector_searchPerforms vector similarity searchD

Performs vector similarity search

ParametersJSON Schema

Name	Required	Description
`table`	Yes	Table name
`vector_column`	Yes	Column containing vectors
`query_vector`	Yes	Query vector for similarity search
`limit`	No	Maximum number of results (optional, default 10)
`database`	No	Database name (optional, uses context if not provided)

TDQS

D1.6/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description contains no behavioral traits such as read-only nature, authentication requirements, or side effects. It completely 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.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one short sentence, but it is under-specified. It fails to convey essential information, making it too brief to be useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 5 parameters and no output schema, the description should explain the tool's behavior and return values. It provides none of these, making it severely incomplete.

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%, so the baseline is 3. The description adds no additional meaning beyond what the schema already provides, so no improvement.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

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 offers no guidance on when to use this tool versus its siblings (e.g., execute_query, list_tables). It fails to specify contexts or alternatives.

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.

9 tool updatesv0.0.2May 6, 2026

Changedcreate_database5 fields changed

addedInput schema / $schema

Added value: +"http://json-schema.org/draft-07/schema#"

addedInput schema / additionalProperties
```
Added value: +false
```

changedInput schema / properties / group / description

Previous value: -"Optional group name for the database"New value: +"Optional group name for the database (defaults to \"default\")"

changedInput schema / properties / name / description

Previous value: -"Name of the database to create"New value: +"Name of the database to create - Must be unique within organization"

changedInput schema / properties / regions / description

Previous value: -"Optional list of regions to deploy the database to"New value: +"Optional list of regions to deploy the database to (affects latency and compliance)"

Changeddelete_database3 fields changed

addedInput schema / $schema

Added value: +"http://json-schema.org/draft-07/schema#"

addedInput schema / additionalProperties
```
Added value: +false
```

changedInput schema / properties / name / description

Previous value: -"Name of the database to delete"New value: +"Name of the database to permanently delete - WARNING: ALL DATA WILL BE LOST FOREVER"

Changeddescribe_table2 fields changed
- addedInput schema / $schema
```
Added value: +"http://json-schema.org/draft-07/schema#"
```
- addedInput schema / additionalProperties
```
Added value: +false
```
Changedexecute_query5 fields changed
- addedInput schema / $schema
```
Added value: +"http://json-schema.org/draft-07/schema#"
```
- addedInput schema / additionalProperties
```
Added value: +false
```
- addedInput schema / properties / params / additionalProperties
```
Added value: +{}
```
- changedInput schema / properties / params / description
```
Previous value: -"Query parameters (optional)"New value: +"Query parameters (optional) - Use parameterized queries for security"
```
- addedInput schema / properties / params / propertyNames
```
Added value: +{
+  "type": "string"
+}
```
Addedexecute_read_only_query
Changedgenerate_database_token2 fields changed
- addedInput schema / $schema
```
Added value: +"http://json-schema.org/draft-07/schema#"
```
- addedInput schema / additionalProperties
```
Added value: +false
```
Changedlist_databases3 fields changed
- addedInput schema / $schema
```
Added value: +"http://json-schema.org/draft-07/schema#"
```
- addedInput schema / additionalProperties
```
Added value: +false
```
- removedInput schema / required
```
Removed value: -[]
```
Changedlist_tables3 fields changed
- addedInput schema / $schema
```
Added value: +"http://json-schema.org/draft-07/schema#"
```
- addedInput schema / additionalProperties
```
Added value: +false
```
- removedInput schema / required
```
Removed value: -[]
```
Changedvector_search2 fields changed
- addedInput schema / $schema
```
Added value: +"http://json-schema.org/draft-07/schema#"
```
- addedInput schema / additionalProperties
```
Added value: +false
```

8 tool updatesv1.0.0Mar 20, 2025
- First observedcreate_database
- First observeddelete_database
- First observeddescribe_table
- First observedexecute_query
- First observedgenerate_database_token
- First observedlist_databases
- First observedlist_tables
- First observedvector_search

Deploy Server

Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

B3.1/5.0

Scored 2026-05-06 12:10 across 9 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: database CRUD, querying (read-only vs. destructive), schema inspection, token generation, listing resources, and vector search. No overlap or ambiguity.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern in snake_case (e.g., create_database, execute_query, list_tables), making the set predictable and easy to navigate.

Tool Count5/5

9 tools is well-scoped for a cloud database service covering management, querying, schema, tokens, and vector search. No unnecessary tools and no deficit.

Completeness4/5

Core operations are covered (CRUD for databases, query execution, schema inspection, token generation). Minor gaps like listing or revoking tokens exist, but the surface is mostly complete for typical workflows.

Maintenance

ActivityMaintained

ResponsivenessUnresponsive

Resources

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