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

Goes well beyond the readOnly/openWorld annotations by disclosing the return shape (5-7 posts with defined structure and 280-char limit), the cost ($0.10 USDC via x402 on Base mainnet), and the exact payment failure/retry flow including the _meta key for the signed payload. This is critical operational context an agent cannot infer from structured data.

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-loaded with purpose, then output structure, then pricing/payment in a logical progression. Every sentence carries information, though the payment mechanics are dense. Slightly packed but no wasted filler.

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?

With no output schema, the description takes on the burden of describing returns, which it does well (post count, composition, character limit). Payment and retry semantics are covered. Only minor gaps remain, such as hard failure modes or rate limits, so not quite a 5.

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% and both parameters carry their own descriptions ('required if no actor' / 'required if no cve'), so the schema does the heavy lifting. The description's 'for an actor or CVE' merely restates the either/or pattern. Baseline 3 applies when schema is comprehensive.

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+resource (generates an X/Twitter thread for an actor or CVE) with the target platform named. The 'X/Twitter' framing implicitly distinguishes it from the LinkedIn sibling (getLinkedinPost) without ambiguity. An agent can tell what this produces at a glance.

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 description indicates the input choice ('for an actor or CVE') but offers no explicit when-to-use-vs-when-not guidance against alternatives like getLinkedinPost or getActorReport. Usage is implied rather than spelled out. No exclusions or prerequisites are given beyond the payment note.

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