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

Annotations already cover the safety profile (readOnly, non-destructive, closed-world), and the description adds genuine context beyond them: no authentication required, no account data read or saved, and the important caveat that the result is a next-test pressure rather than a universal ideal.

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?

Four front-loaded sentences that are mostly efficient: action first, then operational context, then an expectation-setting caveat, then a follow-up note. Little waste, though the caveat and the closing note touch on similar output-interpretation territory.

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 an output schema present, return values need not be explained, and the description supplies the remaining essentials: pure calculation, no auth, no account data, and interpretation guidance. An agent has enough to invoke it correctly, with only usage routing to siblings left implicit.

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%, so each parameter is already documented, including the unit-system enum and unit conventions. The description restates the three pressure inputs but adds no syntax or semantics beyond what the schema provides, so baseline 3 applies.

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 states a clear transformation verb and names both the inputs (cold, hot, target hot pressures) and the output (the next cold pressure to try). It is specific about what the tool produces, though it does not explicitly distinguish itself from siblings like analyze_tire_temperatures.

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?

Usage is implied by the input-to-output framing, and 'Recheck after the next run' hints at when the result applies. However, there is no explicit when-to-use or when-not-to-use guidance and no routing to an alternative tool for related tasks.

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