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

With no annotations, the description carries the full burden and does a good job: it discloses the result cap ("at most 10 posts"), that a total match count is returned alongside, and the complete access/payment model (x402 auto-pay of 0.02 USDC via PAYMENT-SIGNATURE header, or API key with no per-call charge). Gaps are minor — no statement on rate limits or failure behavior when no posts match.

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 what the tool returns, then the usage rule, then the access note. Every clause is substantive, though the bracketed payment paragraph is dense enough that it slightly dilutes the primary content.

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?

There's no output schema, so the description must describe returns — and it does (post text, id, timestamp, match count, cap). Parameters and access are covered. The only real defect is the 10-vs-20 result-cap inconsistency with the schema default.

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%, so all three parameters are already documented, and the description adds little parameter-level meaning beyond "recent". There is also a conflict worth flagging: the description says "at most 10 posts" while the schema's limit parameter defaults to 20, which may confuse an agent setting pagination expectations. Baseline 3 holds with that caveat.

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 names a specific verb (fetch/return) and resource (recent X/Twitter posts about a crypto asset or topic) and enumerates the returned fields (text, id, time). It also explicitly separates itself from get_social_sentiment by contrasting raw posts with an aggregated sentiment score, so an agent can route correctly without opening either schema.

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?

"Use it when the user wants to see what is actually being said, or wants raw posts rather than an aggregated sentiment score" gives an explicit selection condition and names the competing alternative. No inference required.

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