get_config
Get the current Tropicalia MCP configuration, including active search strategies and AI answer settings.
Instructions
Get current Tropicalia MCP configuration
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get the current Tropicalia MCP configuration, including active search strategies and AI answer settings.
Get current Tropicalia MCP configuration
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for behavioral disclosure. 'Get' implies a read-only operation, but the description does not explicitly state safety, permissions, side effects, or any additional behavioral traits, leaving significant gaps for a tool with zero annotation coverage.
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, direct sentence with no wasteful content. It is appropriately sized for the simple nature of the tool and front-loads the core action and resource.
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 the tool's simplicity (zero parameters, no output schema), the description is nearly complete for an agent to understand the tool's purpose. However, it omits details about the return value structure or any authentication requirements, which would enhance completeness for a no-output-schema tool.
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 zero parameters, and schema coverage is effectively 100%. With no parameters to explain, the description is not required to add parameter details, and the baseline of 4 is appropriate.
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 uses a specific verb 'Get' and identifies the resource as 'current Tropicalia MCP configuration', clearly stating the tool's purpose. It does not explicitly differentiate from the sibling tool 'search', but the distinction is obvious given the different resource types, so it falls short of the top score for explicit sibling differentiation.
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 compared to alternatives. It simply states what it does without any context on appropriate scenarios, prerequisites, or exclusions, leaving the agent without usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/tropicalia-ai/tropicalia-mcp'
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