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UditMahaldar

HP ALM MCP Server

by UditMahaldar

alm_create_requirement

Create a requirement in HP ALM with name, type, description, and optional custom fields. Returns the new requirement ID.

Instructions

Create a new requirement in the ALM project.

Args: name: Requirement name / title (required). req_type: Requirement type, e.g. 'Business', 'Functional', 'Testing', 'Undefined'. description: Detailed requirement description. extra_fields: Optional dict of additional ALM field names → values.

Returns: {"success": true, "req_id": "", "name": ""}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
req_typeNoBusiness
descriptionNo
extra_fieldsNo
Behavior2/5

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

No annotations provided. The description lacks behavioral traits such as idempotency, permissions, or side effects. It only describes the action without disclosing any operational impacts.

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?

Structured with Args and Returns sections, front-loaded with purpose. Each sentence adds value, but could omit some redundancy (e.g., 'name: Requirement name / title' is fine).

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?

No output schema, but description provides return format. Covers all parameters. Lacks error handling details, but acceptable for a straightforward creation tool.

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?

Schema coverage is 0%, but description adds meaning to all 4 parameters: name is 'requirement name / title', req_type shows examples, description is clear, extra_fields is an optional dict. This compensates for missing schema descriptions.

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 'Create a new requirement in the ALM project' with specific parameters and return format. It distinguishes from sibling tools like alm_get_requirement (read) and alm_update_defect (different entity).

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?

No explicit when or when-not to use. For a creation tool, usage is implied but no mention of prerequisites, error handling, or alternatives.

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

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