about_fugentic
What Fugentic is, who it is for, and what a business gets from it. Use when someone asks what Fugentic is or does.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
What Fugentic is, who it is for, and what a business gets from it. Use when someone asks what Fugentic is or does.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of explaining behavior. It does disclose the content areas covered (definition, audience, business value) but does not describe the response format, length, or whether it is a high-level overview versus a detailed document. Adequate but not rich.
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, no filler, and the core purpose is front-loaded. Every word 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 no-parameter informational tool, the description provides enough context for an agent to know when to invoke it and what topic it covers. It doesn't describe the exact return structure, but no output schema exists and the tool's simplicity makes this a minor gap.
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?
There are zero parameters, so the input schema provides no semantics to add. The description stands on its own and is sufficient; the baseline of 4 applies.
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 clearly explains the tool's scope: what Fugentic is, its audience, and its business value. It names the exact trigger ('asks what Fugentic is or does') and is distinguishable from siblings like get_started and how_it_works, though it somewhat overlaps with what_ai_can_do_for_your_business.
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 an explicit when-to-use condition: 'Use when someone asks what Fugentic is or does.' It does not explicitly mention when not to use it or name alternatives, so it stays at a 4 rather than a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.