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

No annotations exist, so the description carries the full burden. It does disclose two things structured fields don't: the response shape (summary plus bullets) and the economic model (0.01 USDC per call via x402), which is material for an agent deciding whether to call. It omits failure behavior (what happens past 20,000 characters, whether failed calls are charged) and any latency or rate characteristics.

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 short sentences, front-loaded with what the tool produces and followed by the cost. No filler. The second sentence is a distinct and useful constraint rather than padding, though it could have been merged into a single tighter line.

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 4-parameter tool with full schema coverage and no output schema, the description covers purpose, output artifacts, and pricing — enough to call it correctly. The gaps around oversized input handling and payment failure modes are minor given the schema spells out the 402 handshake.

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%, including the non-obvious two-step paymentProof flow, so the schema already does the parameter work. The description only restates length and language at a high level and adds no format, unit, or enumeration detail beyond it. 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?

States a specific verb and resource ("LLM summary of long text") and names the return artifacts (concise summary plus bullet key points), which separates it from generic text siblings like text_stats. It does not explicitly distinguish itself from ai_rewrite, ai_extract, or ai_answer, so an agent must infer the boundary from the word "summary."

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?

"Long text" implies the input regime where this tool is appropriate, but there is no explicit when-to-use/when-not-to-use guidance and no sibling is named as an alternative. With ai_rewrite, ai_extract, and ai_answer in the same family, routing depends on inference rather than stated rules.

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