Skip to main content
Glama

testneo_execute_generated_test_case

Execute a test case by numeric ID or project and name query, with human-in-loop gating. Use after browsing matches via testneo_find_test_cases.

Instructions

Execute a generated test case by numeric test_case_id OR by project_id + name_query (resolved via GET …/test-cases/?search= then exact/unique name match). Human-in-loop gated. POST /api/web/v1/test-cases/{id}/execute — passes use_agent when TESTNEO_MCP_DEFAULT_EXECUTION_MODE=local and TESTNEO_MCP_PREFER_LOCAL_AGENT=true (same routing as batch). Optional wait_for_agent_seconds + env TESTNEO_MCP_WAIT_FOR_AGENT_MS / TESTNEO_MCP_REQUIRE_LOCAL_AGENT_FOR_BATCH control preflight polling. Use testneo_find_test_cases to browse matches before running.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations exist, so the description carries the burden. It discloses human-in-loop gating, conditional use_agent flag, and preflight polling with environment variables, adding behavioral context beyond basic execution.

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 dense but each sentence adds value. It is front-loaded with the core action. Minor redundancy in environment variable details could be tightened.

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?

Given no output schema and no annotations, the description covers execution logic, routing, and polling. It references sibling tools for status, but missing details on response format and error handling.

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

Parameters1/5

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

The input schema declares zero properties, but the description implies parameters (test_case_id, project_id, name_query) exist. This contradiction will confuse the agent; the description does not align with the schema.

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's function: execute a generated test case by numeric ID or by project+name query. It distinguishes from sibling tools like testneo_find_test_cases and testneo_get_execution_status.

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

Usage Guidelines4/5

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

The description advises using testneo_find_test_cases to browse matches before executing, and mentions human-in-loop gating. It lacks explicit when-not-to-use conditions but provides sufficient context.

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/gururajhm-neo/testneo-mcp'

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