Skip to main content
Glama

configure_blocks_data_gateway

Configure Blocks Data Gateway for GraphQL operations.

Args: project_key: Project key (tenant ID). Uses global tenant_id if not provided connectionString: Connection string for the database databaseName: Name of the database

Returns: JSON string with data gateway configuration result

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyNo
database_nameNo
use_blocks_dbNo
connection_stringNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden. It discloses the return type (JSON string) and the fallback to global tenant_id when project_key is omitted. However, it does not state whether the operation is destructive, overwrites existing config, or requires specific permissions.

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 well-structured with Args and Returns sections, concise and without waste. The only structural flaw is the parameter naming inconsistency, which is a clarity issue but not a conciseness issue.

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?

The tool has moderate complexity with 4 optional parameters and an output schema. The description provides the purpose, return type, and one behavioral nuance, but misses a parameter and offers no usage context or relation to sibling tools. It is adequate but incomplete.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It covers 3 of 4 parameters but uses camelCase names (connectionString, databaseName) that mismatch the schema's snake_case names, and it omits use_blocks_db entirely. The note about project_key default is helpful but the inconsistency undermines clarity.

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

Purpose4/5

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

The description clearly states 'Configure Blocks Data Gateway for GraphQL operations,' using a specific verb and resource. It distinguishes from the sibling getter get_blocks_data_gateway_config, though it could be more explicit about what configuration entails beyond connection details.

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 given on when to use this tool versus alternatives, such as the sibling get_blocks_data_gateway_config. There is no mention of prerequisites, typical scenarios, or exclusions, leaving the agent without context for invocation.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.5/5.0
Disambiguation4/5

The tools are organized into clear domains (auth, roles, schemas, translations, projects), and within each domain, tools have distinct purposes (e.g., get_schema vs list_schemas, save_captcha_config vs update_captcha_status). A few pairs like get_auth_status and get_authentication_config could cause minor confusion, but their descriptions clarify the difference.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case, using predictable verbs like get, list, create, update, set, enable, and configure. Even longer names like save_module_keys_with_translations adhere to the same convention, with no mixed casing or arbitrary styles.

Tool Count2/5

With 36 tools, the server exceeds the typical well-scoped range for MCP servers. While the broad platform domain justifies some breadth, the sheer volume can overwhelm agents and suggests the toolset could be consolidated or split into smaller, focused servers.

Completeness3/5

The toolset provides decent coverage for creation, listing, and some updates across entities like permissions, roles, schemas, and translations. However, there are notable gaps: no delete operations for most resources, no role update, and no project update/delete, which leaves lifecycle management incomplete.

Resources