Skip to main content
Glama

testneo_run_agent_workflow

Run agentic multi-step QA workflows—triage failure, rerun decision, and QA intelligence—on TestNeo project data to analyze test failures and optimize reruns.

Instructions

Run an agentic multi-step QA workflow (triage_failure, rerun_decision, qa_intelligence) over TestNeo data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflow_typeYes
project_idYes
rangeNo30d
top_failuresNo
rerun_limitNo
Behavior2/5

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

No annotations provided, and the description does not disclose side effects, duration, or whether the workflow modifies data. The term 'agentic' hints at AI-driven decisions but lacks specifics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, front-loaded with the workflow types. But it is too brief and omits critical details, making it efficient but insufficient.

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

Completeness1/5

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

Given no output schema, no annotations, 5 undocumented parameters, and multiple sibling tools, the description fails to provide enough context for an AI agent to use the tool correctly.

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?

Schema description coverage is 0%, and the description adds no information about any of the 5 parameters (e.g., workflow_type, project_id, range). The agent cannot infer parameter meaning from the tool description.

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 tool runs a multi-step QA workflow and lists the three workflow types, distinguishing it from single-step run tools like testneo_run_api_test_chain. However, it could be more explicit about the composite nature.

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?

No guidance on when to use this tool vs alternatives. With many sibling run tools (e.g., testneo_run_batch_by_tags, testneo_run_generated_test_pipeline), the absence of usage context is a significant gap.

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