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

With no annotations, the description carries the full burden and does disclose non-obvious traits: the LLM backing it (Llama 3.1 8B fp8), a per-call cost of $0.003 USDC on Solana via x402, which is exactly the auth/payment context an agent needs before invoking. It stops short of describing failure modes, rate limits, or precedence when both inputs are provided.

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 compact sentences with the core purpose front-loaded and cost/model details trailing, so nothing is buried. The parenthetical model tag and terse 'Input: {text} or {url}' notation are slightly schematically worded, but no sentence is wasted.

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 paid, unannotated, no-output-schema tool, the description covers what an agent most needs: supported inputs, output form (bullet points), cost and payment protocol, and model choice. Remaining gaps are which input wins when both are passed and any output-length behavior tied to max_words.

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 75%, just below the high-coverage threshold; the undocumented parameter is max_words, which the description names but doesn't define (units, defaults, or bounds). The description adds the optionality and either/or nature of text vs url, but contributes little beyond the schema for x402_payment aside from flagging that payment is priced in USDC.

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 (summarize) with two concrete resource types (text or web page URL) and the output shape (concise bullet points), plus the backing model. It is clear but does not explicitly distinguish itself from the sibling url_to_markdown, so sibling differentiation is left implicit.

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 'Input: {text} or {url}' phrasing implies that either an inline document or a fetched page is acceptable, and the cost note hints at a paid-operation context. However, there is no explicit when-to-use guidance, no statement on which to prefer when both are supplied, and no routing hint toward alternatives such as url_to_markdown.

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