Skip to main content
Glama

get_root_id_by_suite_id

Retrieve the root suite ID for a specific suite ID in Zebrunner test management. Use this tool to navigate test suite hierarchies by providing a project key and suite ID.

Instructions

🔍 Get root suite ID for a specific suite ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyYesProject key (e.g., 'android' or 'ANDROID')
suite_idYesSuite ID to find root for
formatNoOutput formatjson

Implementation Reference

  • The core helper function implementing getRootIdBySuiteId logic. Returns the root suite ID for a given suite ID by checking precomputed rootSuiteId or computing via getRootId. Matches the Java equivalent method and is used in API clients.
     * Helper function to get root ID for a specific suite ID
     * Equivalent to: getRootIdBySuiteId(List<TCMTestSuite> allSuites, int id)
     */
    static getRootIdBySuiteId(allSuites: ZebrunnerTestSuite[], id: number): number {
      const suite = allSuites.find(s => s.id === id);
      if (suite?.rootSuiteId) {
        return suite.rootSuiteId;
      }
      // If rootSuiteId is not set, calculate it
      return this.getRootId(allSuites, id);
    }
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the tool's function without disclosing behavioral traits like error handling, rate limits, authentication needs, or output format details beyond the 'format' parameter. This is inadequate for a tool with no annotation coverage.

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 a single, efficient sentence with an emoji for emphasis. It's front-loaded with the core purpose and wastes no words, making it easy for an agent to parse quickly.

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 no annotations and no output schema, the description is minimal but covers the basic purpose. However, it lacks details on behavior, error cases, or output structure, which are important for a tool that likely returns hierarchical data. It's adequate but has clear gaps.

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 100%, so the schema fully documents all parameters. The description adds no additional meaning beyond what's in the schema, such as explaining relationships between 'suite_id' and the returned root ID. Baseline 3 is appropriate when schema does all the work.

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 action ('Get root suite ID') and target resource ('for a specific suite ID'), using an emoji for visual emphasis. It specifies the verb and resource but doesn't differentiate from sibling tools like 'get_root_suites' or 'get_suite_hierarchy', which prevents a perfect score.

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. It doesn't mention prerequisites, exclusions, or compare to sibling tools like 'get_root_suites' or 'get_suite_hierarchy', leaving the agent without context for tool selection.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/maksimsarychau/mcp-zebrunner'

If you have feedback or need assistance with the MCP directory API, please join our Discord server