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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds genuinely new behavioral context by disclosing the return format (Markdown) and the breadth of content types it can return, including structured product data such as pricing, features and FAQ.

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, both load-bearing: the first defines the action and output format up front, the second gives provenance guidance for the single required parameter. The content-type enumeration is dense but each item adds discriminating detail rather than filler.

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 single-parameter read tool with 100% schema coverage and no output schema, the description supplies the missing pieces an agent needs: Markdown return format, covered page types, and URL sourcing. Minor omissions remain, such as error behavior for an invalid or out-of-scope URL.

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?

Schema coverage is 100% and the schema already documents accepted URL forms (full URL, path, trailing .md), so the baseline is 3. The description goes beyond the schema by stating where valid URLs originate (search_knowledge_base, list_products), which directly improves invocation correctness.

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?

States a specific verb and resource ('Read a Vitextra page as Markdown') and enumerates the page classes it covers, so an agent can immediately tell this is the retrieval step. The closing sentence distinguishes it from search_knowledge_base and list_products by naming them as URL sources rather than alternatives.

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?

Gives clear workflow context: pass a url obtained from search_knowledge_base or list_products, which tells the agent this tool follows discovery. It stops short of exclusions, e.g. it never says when to prefer this over the sibling 'ask' tool for answering questions about the same content.

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