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

With no annotations provided, the description carries the transparency burden. It communicates that the tool returns full page content and instructs the assistant to always cite the page URL, but it does not disclose potential failure modes, output shape, or other behavioral constraints.

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 one compact sentence that includes purpose, scope, usage guidance, and output instruction. It has no padding or redundant restatement of the tool name.

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 simple single-parameter retrieval tool, the description provides sufficient context: what is returned, what page families exist, and how to cite URLs. It does not cover edge cases like unknown slugs, but the high schema coverage and low parameter count make it fairly complete.

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 schema already documents the slug parameter well with format guidance and examples, so the baseline is strong. The description adds value by listing the exact valid page categories and explaining the services/<slug> pattern for the 12 services, giving richer semantic context.

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 specifies a concrete action — reading the full content of one CODENIVERSE page — and enumerates the valid slug categories such as about, contact, faq, terms, privacy, services, and services/<slug>. It also distinguishes itself from sibling tools by emphasizing that it provides details beyond what other tools give.

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 explicitly states when to use it: when the user needs service details or company information beyond what other tools provide. It does not name specific sibling alternatives or list exclusion conditions, but it gives clear contextual guidance.

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