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Inspect compatibility evidence

get_compatibility
Read-onlyIdempotent

Compares two canonical ProductTwins. It reports direct compatibility only when their verified interface system matches.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productAYes
productBYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
toolYes
factsYes
statusYes
warningsYes
requestIdYes
confidenceYes
provenanceYes
schemaVersionYes

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, but the description adds a meaningful behavioral boundary: it reports compatibility only when the verified interface system matches, and only for canonical ProductTwins. This goes beyond annotation data and is not contradictory.

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

Conciseness5/5

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

The description is exactly two sentences, front-loads the operation and scope, and contains no filler. Every word contributes to understanding what the tool does.

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

Completeness4/5

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

For a simple two-param, read-only tool with an output schema present, the description covers the essential behavior and its key limitation. It doesn't state what happens when interface systems do not match, but the output schema likely handles result presentation, so the description is close to complete.

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

Parameters3/5

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

Schema description coverage is 0%, so the description must compensate. It does clarify that the two string parameters denote canonical ProductTwins, adding a layer of meaning. However, it doesn't elaborate on the expected format or how to populate them beyond the schema's pattern, so it only partially compensates.

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 uses a specific verb ('compares') and names a clear resource ('two canonical ProductTwins'), and adds a defining condition ('direct compatibility only when their verified interface system matches'). It does not distinguish from sibling tools by name, so it stops short of a 5.

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

Usage Guidelines3/5

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

The description implies the tool is for comparing two canonical ProductTwins, and the phrase 'direct compatibility only' hints at a specific scenario. However, it gives no explicit guidance about when to prefer this tool over siblings such as get_fit_guidance or resolve_problem, and names no alternatives or exclusions.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct capability: exact product retrieval, search, pairwise compatibility, fit guidance, offer lookup, generation-family listing, and problem resolution. The closest pair (get_compatibility and get_fit_guidance) is separated by interface matching vs. manufacturing compensation and physical-test warnings.

Naming Consistency5/5

All tool names are lowercase snake_case with a clear verb-object form: get_*, list_*, search_*, resolve_*. There are no mixed naming conventions or vague generic verbs.

Tool Count5/5

Seven tools is well-scoped for a parts decision-support server. Each tool covers a distinct operation without redundancy, and the count is neither thin nor bloated.

Completeness4/5

The surface covers core lookup, search, compatibility, fit, offer, generation-option, and problem-resolution workflows well. The only minor gap is that generation options are listed but not expanded into detailed generation variants, so an agent may need to work around that via resolve_problem.

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