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

With no annotations present, the description carries the full burden and does it well: it discloses the pay-per-call cost, the USDC-on-Base payment mechanism, the required payment-signature header, and the error behavior when that header is missing. This gives an agent crucial operational context beyond the plain schema.

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?

Three sentences, each earning its place: purpose and outputs, pricing/payment, and error behavior. The most important information is front-loaded and there is no 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?

For a two-string-parameter tool with no output schema, this description is complete enough: it tells the agent what to do, what it returns, how much it costs, how to authorize the call, and what happens if authorization is missing.

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 100%, so the schema already documents 'query' and 'context' with examples. The description adds nothing specific about how the two parameters relate or which one should contain the text to analyze, so it stays at the baseline.

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: 'Analyze the sentiment of text' and lists the concrete outputs (overall sentiment, key themes, emotional triggers). This clearly separates it from sibling tools like analyze-document or extract-pain-points, whose focus would be different.

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 intended use is implied by the name and the first sentence, but the description never explicitly says when to choose this tool over siblings such as analyze-document or extract-pain-points. It provides operational guidance (payment requirements) rather than selection guidance.

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