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

The description discloses that the tool returns explanatory content about the network, purchase flow, pricing, and authentication. It is consistent with the readOnlyHint and idempotentHint annotations, and adds valuable detail about the tool's output without contradicting the annotations.

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 concise, with two sentences that front-load the usage guidance and then list key topics covered. It avoids redundancy and maintains high information density.

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?

The description covers the essential context: what the tool does, when to use it, and what it explains (pricing, flow, authentication). Since there is no output schema, no return-value details are needed, and the description is sufficiently complete for an agent to invoke it correctly.

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 tool has no parameters, so there is nothing to explain. The description does not need to add parameter information; schema coverage is complete by default.

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 explicitly states the tool's purpose: to explain what Nautilinks does, how its backlink service works, and how an AI agent can use it. It clearly distinguishes this informational tool from the action-oriented siblings like create_order or check_balance.

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 provides explicit usage instructions: 'Use this when the user asks what Nautilinks does...' and even recommends calling it first when unsure about the service. This leaves no ambiguity about when to invoke this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.