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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds that boilerplate is stripped and the output is LLM-ready, which provides extra context beyond the annotations. However, it does not disclose other behaviors like rate limits, error handling, or performance characteristics, so the added value is modest.

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 sentence followed by a concrete example. It is front-loaded with the core purpose, uses no filler, and the example efficiently demonstrates the required parameters. Every element earns its place.

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 tool with four parameters and no output schema, the description gives enough context: the purpose, an example, and the implied use case. It does not mention potential limitations like JavaScript rendering or connection issues, but these are minor gaps given the annotations and schema coverage. Overall, it is reasonably 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?

Schema description coverage is 100%, so all four parameters are already well-documented in the input schema. The description provides an example call that illustrates parameter usage, but it does not add semantic meaning beyond what the schema already offers. Baseline 3 is 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 states the verb 'fetch' and the resource 'a web page', with output 'clean, LLM-ready Markdown'. It is specific and includes an example, but it does not explicitly distinguish itself from sibling tools like scrapingant_scrape or scrapingant_extract, so it falls short of a 5.

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 phrase 'Ideal for feeding page content to a model' implies a use case, but it does not explicitly state when to use this tool over alternatives or provide exclusions. There is no mention of when not to use it or which sibling to choose instead, so the guidance is only implied.

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