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Contract Testing: Get BDCT Provider Check Results by Consumer

contract-testing_get_bdct_provider_check_results_by_consumer
Read-onlyIdempotent

Fetch provider contract self-verification results for a specific consumer-provider version pair during bi-directional contract testing.

Instructions

Fetch the provider contract self-verification results for a specific consumer-provider version pair in Bi-Directional Contract Testing.

Toolset: Bi-Directional Contract Testing

Parameters:

  • providerName (string) required: Name of the provider

  • providerVersionNumber (string) required: Provider version number

  • consumerName (string) required: Name of the consumer

  • consumerVersionNumber (string) required: Consumer version number

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
consumerNameYesName of the consumer
providerNameYesName of the provider
consumerVersionNumberYesConsumer version number
providerVersionNumberYesProvider version number
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safe read nature is clear. The description adds no extra behavioral context (e.g., auth, pagination, or return format), but with annotations covering safety, it meets the minimum bar.

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?

The description is concise: one sentence for purpose and a clear parameter list. It is front-loaded with the action and resource. However, the parameter list could be better structured (e.g., using bullet points or highlighting required), but it is not wasteful.

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

Completeness3/5

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

Given the tool is a simple fetch with full schema coverage and safety annotations, the description is adequate. However, it lacks context about what 'provider check results' entail, how they differ from other verification results, and what the response looks like (no output schema). For a complete understanding, more elaboration is needed.

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?

The schema coverage is 100%, and the description simply repeats the parameter names and descriptions from the schema. It adds no additional meaning or example values beyond what the schema provides, so the baseline score of 3 is appropriate.

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 clearly states the verb 'Fetch' and the resource 'provider contract self-verification results' for a specific consumer-provider pair. It also mentions 'Bi-Directional Contract Testing' which provides domain context. However, it does not explicitly differentiate from sibling tools like get_bdct_provider_contract_verification_results, leaving some ambiguity.

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?

The description provides no guidance on when to use this tool versus alternatives. Among many similar contract-testing tools, there is no indication of prerequisites, typical workflow, or exclusions, making it hard for an agent to select correctly.

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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