Scrape

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

With no annotations, the description carries the full behavioral burden. It does disclose the salient trait that it extracts 'main page content' into markdown rather than returning raw HTML, which is useful. It says nothing about permissions, rate limits, timeouts, JavaScript-rendered pages, or failure behavior on non-HTML responses.

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?

One sentence, front-loaded with the action and ending with the payoff. Every clause earns its place and nothing is padded.

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?

An output schema exists, so return values need not be restated, and this is a one-parameter tool with a low complexity profile. The description covers purpose and output shape adequately; the only real gap is guidance against the sibling search/research tools and any caveats about dynamic content.

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% for the single url parameter, which already states it must be an HTTP or HTTPS URL. The description adds no format, normalization, or constraint detail beyond the schema, so the baseline of 3 applies.

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 gives a specific verb (fetch), a specific resource (a URL), and the exact output form (main page content as markdown). An agent can immediately tell this retrieves a known page rather than searching. It stops short of naming or contrasting the closest sibling, web_search, so a 5 is not warranted.

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?

Usage is only implied: the tool fetches a URL you already have, and the 'suitable for LLM context' framing hints at its role. There is no explicit when-to-use, when-not-to-use, or comparison against web_search or research, which are the obvious alternatives an agent would weigh.

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