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

No annotations exist, so the description carries the full burden. It usefully discloses the pricing model ($2.50/call via x402/USDC on Base), which is a real behavioral trait beyond the schema. However, it says nothing about output format, latency, or what the call actually returns for the prompt.

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?

Two sentences, front-loading the purpose and domain before the pricing line. Efficient with no filler, though the capability list is a dense comma run-on rather than truly tight prose.

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 single-prompt AI wrapper with no output schema, it covers domain, audience, and cost, but omits any hint of return format or example usage. Adequate minimum but leaves the agent guessing about 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?

One parameter with 100% schema description coverage, so the schema already documents 'prompt' fully. The description adds no syntax, format, or content guidance for the prompt beyond what the schema provides, making the baseline 3 appropriate.

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 domain (event planning & operations) with enumerated sub-capabilities: run-of-show, staffing, risk, vendor negotiation, budget guardrails. This clearly describes what the service does, though it doesn't distinguish itself from generic siblings like ai_consultation or negotiation_advisor that could overlap on the same prompt.

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?

Names a target audience ('catering/corporate/hospitality agents'), which hints at when it applies, but gives no explicit trigger, exclusions, or alternative tools. An agent cannot tell from this when to prefer event_ops over negotiation_advisor or ai_consultation.

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