Skip to main content
Glama
VaruniAlwis

plsql-test-mcp

by VaruniAlwis

checkUnitTestability

Analyze IFS PL/SQL source files to identify unit testable functions and procedures, and generate @IgnoreUnitTest annotations for non-testable methods.

Instructions

Analyze an IFS .plsql or .plsvc source file and determine whether each function/procedure is unit testable with pltst. Returns suggested @IgnoreUnitTest annotations when not testable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
methodNameNoOptional single method to analyze
sourceFileYesAbsolute path to the .plsql or .plsvc source file
Behavior3/5

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

No annotations are provided, so the description must fully disclose behavior. It states the tool analyzes and returns suggestions, but does not clarify whether it modifies files, the nature of analysis (e.g., static), or side effects. The transparency is adequate but not comprehensive.

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, clear sentence with no wasted words. It is front-loaded with the action and resource, making it immediately informative.

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?

The description explains the return value (suggested annotations) which is helpful given no output schema. However, it omits what happens when all functions are testable and error handling details. Still, it covers the core behavior for a simple analysis tool.

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 coverage is 100%, so baseline is 3. The description adds no additional meaning beyond the schema's parameter descriptions (sourceFile and methodName). It does not enhance understanding of parameter usage or constraints.

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 analyzes IFS .plsql or .plsvc files to determine unit testability with pltst and returns suggested @IgnoreUnitTest annotations. It uses specific verbs ('Analyze', 'determine') and resource ('source file'), and the purpose is distinct from siblings like annotateIgnoreUnitTest or generateUnitTest.

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 explains what the tool does but does not explicitly state when to use it over alternatives. An agent might infer it is useful before generating unit tests, but no direct guidance 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/VaruniAlwis/plsql-test-mcp'

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