Skip to main content
Glama

save_captcha_config

Save CAPTCHA configuration for Google reCAPTCHA or hCaptcha.

Args: provider: CAPTCHA provider - "recaptcha" for Google reCAPTCHA or "hcaptcha" for hCaptcha site_key: Public site key from CAPTCHA provider console secret_key: Private secret key from CAPTCHA provider console project_key: Project key (tenant ID). Uses global tenant_id if not provided is_enable: Whether to enable the configuration immediately (default: False)

Returns: JSON string with CAPTCHA configuration save result

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
providerYes
site_keyYes
is_enableNo
secret_keyYes
project_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral transparency burden. It discloses the return type (JSON string), the project_key fallback to global tenant_id, and the default for is_enable. However, it does not mention potential side effects such as overwriting an existing configuration or permission requirements.

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 well-structured with a clear summary sentence, parameter list, and return statement. It is appropriately sized with no redundant information.

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?

The description covers all five parameters and the return value. It explains the project_key fallback and default behavior. While it doesn't detail the exact JSON result structure, the presence of an output schema reduces the burden. Minor gaps include potential error cases or prerequisites, but overall it's a complete tool description.

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

Parameters5/5

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

The schema has 0% description coverage, but the description compensates fully by explaining each parameter: provider with its allowed values ('recaptcha'/'hcaptcha'), site_key and secret_key origins, project_key fallback, and is_enable default. This adds significant meaning beyond the schema's plain names and types.

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

Purpose5/5

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

The description clearly states 'Save CAPTCHA configuration for Google reCAPTCHA or hCaptcha,' using a specific verb and resource. It differentiates from siblings like 'list_captcha_configs' and 'update_captcha_status' by focusing on the save action.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives. It implies usage through the save action, but no exclusions or alternative guidance is given. It provides clear context about creating configs but no direct comparison to sibling tools.

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