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finalize_schema

Finalize schema changes by retrieving updated schema (step 3 of schema field management).

Args: schema_id: The ID of the schema to finalize project_short_key: Project short key. project_key: Project key (tenant ID). Uses global tenant_id if not provided

Returns: JSON string with finalized schema data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schema_idYes
project_keyNo
project_short_keyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It does not state whether this operation mutates data, commits changes, or has side effects; saying 'retrieving updated schema' hints at a read operation, but 'finalize' suggests potential state changes. Permissions, reversibility, and error behavior are not mentioned.

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 concise docstring with Args and Returns sections. It avoids fluff and front-loads the core purpose. The structured format is slightly verbose but each element earns its place.

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?

With no annotations, the description is the only source of behavioral context. It covers parameters and return type but omits side-effect details, prerequisites, and error handling. Given the simple parameter set (3 params, no enums) and presence of an output schema, it is minimally viable but not fully complete.

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?

Schema description coverage is 0%, but the description explicitly explains each parameter's purpose, including that 'project_key' uses a global tenant_id if not provided. This adds meaningful semantics beyond the bare schema titles, compensating for the lack of inline schema descriptions.

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 a specific action ('Finalize schema changes') and resource ('schema'), and positions it as 'step 3 of schema field management', which distinguishes it from sibling tools like create_schema or update_schema_fields. However, the exact meaning of 'finalize' is not elaborated, leaving some ambiguity.

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 gives clear context that it is part of a multi-step workflow ('step 3 of schema field management'), implying when to use it in sequence. It does not explicitly list exclusions or alternatives, but the step-oriented wording provides adequate guidance.

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

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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.

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