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

With no annotations, the description carries the burden well: it discloses what is removed (menus, scripts, ads), that the output is Markdown, the price ($0.0200 USDC per call), the x402 payment mechanism, and the POST endpoint. It omits error/truncation behavior when a page exceeds the character limit, which keeps it short of a 5.

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?

Front-loads the value proposition, then gives inputs, then pricing/transport in a compact second segment. Slightly dense with the endpoint and protocol string, but every element is operational and earnable.

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 two-parameter, no-output-schema fetch tool, the description covers what it returns, what it strips, the cost and the transport, which is close to sufficient. It stops short of explaining truncation/pagination behavior when the Markdown exceeds the limit.

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 the baseline is 3; the description only restates the same 'url' and 'had' (500-40000) facts already in the schema without adding format or default-value nuance beyond it.

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 concrete verb+resource+outcome: fetch a URL and return cleaned Markdown with menus, scripts and ads stripped. An agent can tell it apart from summarization-style siblings (kikis-ringkas, ringkas) by the raw-extraction framing, though it never names them explicitly.

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?

Implies its niche with 'jimat token untuk agen AI', signalling it is the token-efficient path for pulling page content. However, it gives no explicit when-to-use/when-not guidance and never references an alternative among the many siblings.

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