sentiment

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

No annotations are provided, so the description must carry the behavioral disclosure. It only mentions the $0.001 USDC cost via x402, which implies a paid transaction, but does not describe side effects, required permissions, data handling, or output behavior.

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 very short and front-loaded, but it omits essential information. While it is concise, it sacrifices completeness to the point of being under-specified.

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 annotations or output schema and a generic parameter schema, the description needed to fully explain purpose, parameters, and behavior. Instead, it only provides a vague category and cost, making it impossible for an agent to correctly select or invoke this tool.

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 has a single generic 'params' object with a description that just says 'Tool parameters as JSON object', and the tool description adds no parameter details. Since schema description coverage is 100%, the baseline is 3, but the schema itself is uninformative, leaving the agent with no idea what keys or format to use.

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 says 'Content & AI tool' which is a broad category, not a specific function. The name 'sentiment' implies sentiment analysis, but the description doesn't state what action it performs or what resource it operates on, and it fails to distinguish from many sibling content/AI 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?

There is no guidance on when to use this tool versus alternatives. No mention of appropriate use cases, prerequisites, or exclusions. The only additional information is the cost, which is not usage guidance.

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