fauxgen_tool_urlReturns the fauxgen.com URL for visual tools such as chat mockups, plates, or barcodes, providing access to screenshots or full UI when required.
Return the fauxgen.com URL for a visual tool (chat mockups, plates, barcodes, etc.). Use when the user needs screenshots or the full UI.
| Name | Required | Description | Default |
|---|---|---|---|
| tool | Yes | Tool slug on fauxgen.com | |
| country | No | Optional country code for country-aware tools |
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It clearly states that the tool returns a URL, implying a read-only operation with no data generation or mutation. However, it does not explicitly say there are no side effects, whether the URL is deterministic, or how the optional country parameter affects the result.
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?
Two short sentences with zero waste. The purpose is front-loaded, followed immediately by the usage condition. Every sentence earns its place.
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?
For a low-complexity URL-mapping tool with a rich enum schema and no output schema, the description is nearly complete. It states what is returned and when to use it. It does not mention the optional country parameter, but the schema fully documents that, so the gap is minor.
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?
Schema coverage is 100%, so the baseline is 3. The description's examples (chat mockups, plates, barcodes) loosely align with the enum values, but it adds no syntax or meaning for the required 'tool' slug or the optional 'country' parameter beyond what the schema already documents.
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 states a specific verb and resource: 'Return the fauxgen.com URL for a visual tool (chat mockups, plates, barcodes, etc.).' This distinguishes it from the generate_* siblings, which produce fake data rather than web tool URLs. It stops short of explicitly naming those alternatives, but the resource distinction is clear.
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?
It gives a clear use condition: 'Use when the user needs screenshots or the full UI.' This tells the agent when to prefer this URL-returning tool over data generators. No when-not conditions or alternative tool names are provided, but the context is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.