Skip to main content
Glama
debugg-ai

Debugg AI MCP

Official
by debugg-ai

Test Case

test_case
Destructive

Create, update, or delete test cases in a suite. Each test case includes name, description, and agent task for AI execution.

Instructions

Manage individual test cases within a suite. Pass an "action":

  • "create" {name, description, agentTaskDescription, suiteUuid|(suiteName+project), relativeUrl?, maxSteps?} → add a test case (NOT auto-run).

  • "update" {testUuid, name?, description?, agentTaskDescription?} → patch a test case.

  • "delete" {testUuid, confirm?} → soft-delete (DESTRUCTIVE; requires confirmation).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoTest case name.
actionYesOperation to perform.
confirmNo[delete] Set true to confirm deletion (when the client cannot prompt).
maxStepsNo[create] Max agent steps (1..100).
testUuidNo[update/delete] Test case UUID.
suiteNameNo[create] Suite name (requires a project identifier).
suiteUuidNo[create] Suite UUID.
descriptionNoTest case description.
projectNameNo[create] Project name (or projectUuid).
projectUuidNo[create] Project UUID (or projectName).
relativeUrlNo[create] Starting path, must start with "/".
agentTaskDescriptionNoWhat the AI agent should do and verify.
Behavior4/5

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

Beyond annotations (destructiveHint=true), the description explicitly warns that delete is destructive and requires confirmation, clarifies that create does not auto-run the test, and mentions soft-delete. This adds valuable behavioral context, though it does not cover rate limits or authorization.

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 extremely concise and well-structured: a one-sentence overview followed by clear action-specific bullet points. Every sentence adds value, with no unnecessary content. The front-loaded purpose immediately orients the agent.

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 12 parameters, 3 actions, and no output schema, the description covers the parameter requirements well but omits return values for create, update, and delete. The absence of output schema documentation is a gap, though annotations partially compensate for behavioral hints.

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

Parameters4/5

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

The description groups parameters by action, showing required combinations (e.g., suiteUuid or suiteName+project for create). While the schema already uses action-prefixed descriptions, the description's structured grouping significantly aids understanding. Baseline 3 due to 100% schema coverage, but extra value raised score.

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

Purpose5/5

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

The description clearly states the tool manages test cases within a suite and enumerates three actions (create, update, delete) with specific parameter requirements. It distinguishes itself from sibling tools like test_suite and executions by focusing on individual test case operations and noting that create does not auto-run.

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 provides implicit usage guidance through action-specific parameter lists (e.g., suiteUuid vs. suiteName+project for create), but does not explicitly state when to use this tool over alternatives like test_suite or executions. No direct comparison to siblings is provided.

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/debugg-ai/debugg-ai-mcp'

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