contract-testing_record_release
Record that a version of a pacticipant has been released to an environment (for mobile/library release workflows). Parameters: - pacticipantName (string) *required*: Name of the pacticipant that was released - versionNumber (string) *required*: Version number that was released - environmentId (st...
This record as markdown: /tools/smartbear-mcp/contract-testing-record-release.md
What contract-testing_record_release does on SmartBear MCP
AI agents use contract-testing_record_release to create or update resources in SmartBear MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your SmartBear MCP environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
environmentId | string | Yes | UUID of the target environment |
versionNumber | string | Yes | Version number that was released |
pacticipantName | string | Yes | Name of the pacticipant that was released |
Parameters from the server's own tool schema.
Why contract-testing_record_release is rated Medium
This tool records/creates a release entry in PactFlow, associating a version with an environment. It is a Write operation (creating a new record). Severity is high because incorrectly recording a release to the wrong environment could cause downstream contract testing gates to pass or fail incorrectly, potentially allowing incompatible services to be deployed to production.
From the tool's definition Record that a version of a pacticipant has been released to an environment
Attacks that exploit this kind of access
The rule that runs contract-testing_record_release safely
PolicyLayer is an MCP gateway: it sits between your AI agents and SmartBear MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For contract-testing_record_release, this is the rule to start with:
contract-testing_record_release stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect SmartBear MCP, apply this rule, and every contract-testing_record_release call is checked against it from then on.
Questions about contract-testing_record_release
Record that a version of a pacticipant has been released to an environment (for mobile/library release workflows). Parameters: - pacticipantName (string) *required*: Name of the pacticipant that was released - versionNumber (string) *required*: Version number that was released - environmentId (string) *required*: UUID of the target environment. It is categorised as a Write tool in the SmartBear MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
contract-testing_record_release accepts 3 parameters: environmentId, versionNumber, pacticipantName. Required: environmentId, versionNumber, pacticipantName. The full parameter table on this page comes from the server's own tool schema.
Register the SmartBear MCP server in PolicyLayer and add a rule for contract-testing_record_release: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches SmartBear MCP. Nothing to install.
contract-testing_record_release is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the contract-testing_record_release rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for contract-testing_record_release. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
contract-testing_record_release is provided by the SmartBear MCP server (SmartBear/smartbear-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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