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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does state that results are 'bounded' and include 'source links', and it discloses the cost per call via x402. However, it does not mention whether authentication is required, rate limits, or any side effects (though search is naturally read-only). This is a moderate level of transparency but not exhaustive.

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?

The description is a single, tightly written sentence (plus a cost remark) that front-loads the action and core functionality. Every phrase carries meaning: the resource, the filters, the output characteristics, and the pricing. There is zero wasted text.

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?

The tool has 7 parameters, no output schema, and no annotations. While the description explains the general purpose and output, it does not clarify how filters combine (e.g., AND vs OR), the exact output structure (list, count, object), or pagination beyond 'bounded'. This leaves meaningful ambiguities for an agent deciding how to construct a query and interpret results.

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?

The schema description coverage is 0%, so the description must compensate. It does so by mapping the filter types to parameter groups: words, phrases, hashtags, account (to/from), and date (since/until). This adds meaning beyond the bare parameter names, though it does not explain exact formats or combination logic. Still, it gives enough for an agent to infer the purpose of each parameter.

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 clearly states a specific action ('Search'), a specific resource ('publicly indexed X.com posts'), and lists the filter dimensions (words, phrases, hashtags, account, date). It also mentions the return type ('bounded tweet-like results with source links'), which distinguishes it from generic search tools.

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 gives clear context: it is for searching public X.com posts and mentions it returns bounded results with costs. However, it does not explicitly mention when not to use it or name alternative tools, though no direct siblings exist in the list. The 'publicly indexed' qualifier implies limitations but does not spell out exclusion criteria.

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