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Analyze tire temperatures

analyze_tire_temperatures
Read-only

Interprets inside, middle, and outside tire temperature readings without authentication or access to TuneWorks account data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unitNof
readingsYesTire readings keyed by lf/rf/lr/rr, each with inside, middle, and outside numbers.
targetTempNo
tempWindowNo
rearCamberSpreadNo
frontCamberSpreadNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
toolYesTuneWorks MCP tool name that produced this result.
unitNo
tiresNo
statusYesResult status such as ok, created, updated, sent, auth_required, or confirmation_required.
balanceNo
nextTestNo
rearAverageNo
frontAverageNo
acquisitionScopeNo
authenticationRequiredNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, covering the safety profile. The description adds a genuine behavioral trait not in the annotations — that it runs without authentication or TuneWorks account data — but says nothing about return shape or constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the core action leads. It is efficient, though its brevity borders on under-specification rather than true conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 6 parameters including a nested readings object and 17% schema coverage, the description is too thin. The output schema does relieve it of explaining return values, but the undocumented tuning thresholds and absence of usage context leave the agent under-informed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 17%: only "readings" is documented in the schema, while unit, targetTemp, tempWindow, rearCamberSpread, and frontCamberSpread are undocumented. The description does not compensate by explaining any of these tuning parameters, leaving 5 of 6 params without meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a clear verb ("Interprets") and resource ("inside, middle, and outside tire temperature readings"), so an agent knows the high-level function. However, it does not distinguish this from closely-related siblings like calculate_tire_pressure_adjustment or calculate_corner_balance, which also operate on tire/setup data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance and no named alternative, despite several siblings (check_race_alignment, calculate_tire_pressure_adjustment) that overlap in domain. The only contextual hint is that it works without auth, which is a capability note rather than usage direction.

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

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