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

No annotations, so description must cover behavior. It discloses cost (2 sats), payment flow, faster/cheaper than LLM, and returns label and boolean. Does not mention rate limits or destructive effects, but nothing contradictory.

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?

Concise paragraph front-loads core function, then adds pricing and payment details. No redundant sentences; every sentence adds value.

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, description explains return values. Covers use case, pricing, payment flow, and image format. Complete for a simple two-param 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?

Schema coverage is 100% with descriptions for both params. Description adds context: paymentId must be valid/paid, imageBase64 can be data URI or formats. Reinforces workflow requirement, adding marginal value beyond schema.

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?

Description clearly states the tool classifies image safety into normal/suggestive/explicit, returns a label and boolean flag. It distinguishes itself from siblings like detect_objects by specifying NSFW detection and unique pricing.

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?

Explicitly states use for content moderation pipelines and is cheaper/faster than LLM. Mentions payment requirement via create_payment. Lacks explicit when-not-to-use or alternative tools, but context is provided.

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