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

Annotations already establish readOnly/idempotent/closed-world, but the description adds genuinely non-inferable behavior: responses are verbatim quotes with a source URL, and the tool will return 'no published answer' instead of composing one. That grounding/no-fabrication guarantee is exactly the kind of trait an agent cannot learn from structured fields and changes how it should handle empty results.

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 sentences, no padding, and the core capability is front-loaded before the fallback behavior. Every clause earns its place, including the anti-composition guarantee.

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 one-parameter read tool with no output schema, the description covers both the success path (quoted answer plus source URL) and the failure path (no published answer). An agent knows what it will get back and what an empty result means, which is the main risk with this tool.

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 is a single parameter with 100% schema description coverage, including example questions, so the schema carries the burden. The description adds no format, length, or phrasing guidance beyond mentioning that questions are answered from published content — baseline 3 is appropriate here.

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?

Names a specific verb (answers) and a well-bounded resource (questions about Harshith Nayaka L or his work) and pins down the mechanism: quoting the site's own published answer. That mechanism implicitly separates it from browse-style siblings like list_faqs or get_profile, but no sibling is named explicitly, so full sibling differentiation is left to inference.

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 scope ('about Harshith Nayaka L or his work') tells an agent when this tool applies, and the fallback clause defines the boundary of what it will answer. It stops short of explicitly directing the agent to list_faqs or get_profile for other needs, so there is no overt when-not routing.

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