gpu_compute_prices

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

With no annotations, description carries full burden. It mentions real-time nature and a monetary cost ($0.05 via x402), which is critical behavioral context. Does not mention rate limits or authentication, but cost and real-time are key traits.

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?

Extremely concise: three short sentences, each adding unique value (scope, outputs, cost). No redundant or filler content.

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 zero-input tool with output schema, description is thorough: models, providers, outputs, and cost. Does not explain 'x402' mechanism but overall adequate. Minor detail missing but still effective.

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?

No parameters exist; schema coverage is 100% by default. Baseline for 0-parameter tools is 4. Description adds context about the return structure, indirectly helping understand the lack of input.

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 retrieves real-time GPU compute spot prices for specific models (H100, H200, etc.) from named providers (Vast.ai, RunPod, etc.), and lists the exact outputs (best_deals, market_signal, AI infrastructure brief). A specific verb and resource with precise scope.

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?

No explicit instructions on when to use versus alternatives; usage is implied by the domain (GPU pricing). Lacks guidance on when not to use or alternative tools, though siblings are mostly unrelated.

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