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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds meaningful behavior beyond those: a $0.50 USDC cost, determinism, and an explicit statement that no launch is claimed to have occurred. These are useful operational details not present in the annotations.

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 a single sentence with no filler. It front-loads the cost and core purpose and adds a meaningful behavioral qualifier about not claiming a launch. Every clause earns its place.

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?

Despite having an output schema and strong annotations, this is a complex tool with 19 parameters and 4 required ones. The description does not explain how to supply or interpret the 'exact StackBench recommendation,' nor does it clarify how the deterministic templates are derived from required inputs. It is adequate for basic gisting but not fully complete for correct invocation.

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 0%, so the description needed to compensate, but it does not. It names vLLM and llama.cpp, which hints at the 'runtime' parameter, but the other required parameters — model, hardware_system, and prompt_tokens — are not explained. 'Exact StackBench recommendation' is too vague to convey how the 19 parameters map to the call.

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 uses a specific verb ('generate'), names the resource ('deterministic vLLM or llama.cpp launch templates'), and identifies the input source ('exact StackBench recommendation'). It also explicitly distinguishes itself from tools that would claim a launch occurred, which separates it from siblings like recommend_deployment and check_deployment_fit.

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 phrase 'from an exact StackBench recommendation' implies this tool should be used after a recommendation already exists, which gives some usage context. However, it never explicitly names alternatives or states when not to use this tool versus siblings like recommend_deployment or predict_performance. The guidance is implied rather than explicit.

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