panelica_core_get_v1_search
Search across Panelica hosting panel resources using a query parameter.
Instructions
Quick search
HTTP: GET /v1/search Category: Core
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No | Query parameter: q |
Search across Panelica hosting panel resources using a query parameter.
Quick search
HTTP: GET /v1/search Category: Core
| Name | Required | Description | Default |
|---|---|---|---|
| q | No | Query parameter: q |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; the description only states HTTP method and category, omitting behavioral traits like read-only, authentication, or response size.
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 extremely terse (two lines), lacking essential details for an effective tool definition, though it is structured with separate lines for purpose and metadata.
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?
No output schema and no description of return values; the agent cannot determine what the search returns or how to interpret results.
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?
Input schema has 100% coverage for the single parameter 'q', but the description adds no semantic context about query format or scope beyond the schema's minimal description.
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 'Quick search' is vague; it does not specify what resources are searched among many sibling tools, and the tool name includes 'search' but lacks context.
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?
No guidance on when to use this tool vs alternatives; no description of query scope or differentiation from other tools.
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/Panelica/panelica-mcp'
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