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

With no annotations, the description carries the full burden of behavioral disclosure. The verb 'Gets' implies a read-only operation, and the phrase 'recommended guidance' suggests a simple return value. However, it doesn't describe the format of the guidance (e.g., text, structured data) or clarify whether any state changes occur, which is a minor gap for such a simple tool.

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, front-loaded sentence that states the action, resource, and intended usage in a compact way. There is no fluff or repetition, making it highly concise and efficient.

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 adequately covers the what, when, and why. It provides context for when to use it in a conversation flow. A minor gap is that the nature of the 'guidance' is not elaborated, but the name and description provide enough for an agent to infer its role.

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 zero parameters, so the description need not explain parameter specifics. Per the guidelines, the baseline is 4 when there are no params, and the description adds no redundant parameter information, making this score 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 clearly identifies both the resource ('recommended Walnai lead-capture guidance') and the action ('Gets'), and it specifies the context ('to use in AI chats after sharing service, pricing, FAQ, adoption, or company information'). This distinguishes it from sibling tools that provide specific content types, making the tool's purpose immediately 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?

The description gives an explicit condition for use: 'after sharing service, pricing, FAQ, adoption, or company information.' This implies the tool should be invoked after using sibling content tools like get_pricing or get_faqs. While it doesn't name alternatives directly, the trigger condition is specific enough to guide selection, though it could be strengthened by explicitly stating when not to use it.

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