Skip to main content
Glama
Kadihx
by Kadihx

Synthetic QA edge-case matrix (feature #11)

jev_edge_qa

Generate deterministic edge-case test matrices for feature specs, covering input, concurrency, dependency, auth, state, time, and billing scenarios to uncover hidden bugs.

Instructions

Generate a deterministic edge-case test matrix (input, concurrency, dependency, auth, state, time, billing) for a feature spec.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specYesFeature or change description.
countNoNumber of cases to emit (3-12, default 8).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It adds value by stating the result is 'deterministic' and enumerating the edge-case dimensions (input, concurrency, dependency, auth, state, time, billing), which helps set expectations. However, it does not mention side effects, permissions, external interactions, failure modes, or output format, so an agent still lacks full operational transparency.

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, front-loaded sentence with no filler. It states the core action and usefully lists the edge-case categories, making every clause informative without redundant wording.

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?

For a relatively simple two-parameter tool without an output schema, the description covers the main purpose and the domains of edge cases. It is adequate but leaves gaps around the exact output shape, how determinism is guaranteed, and when to prefer sibling tools such as jev_verify or jev_redteam.

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 description coverage is 100%, so the schema already explains 'spec' and 'count' sufficiently. The description adds little beyond mapping the tool to a 'feature spec', which aligns with the required 'spec' parameter, but it does not deepen parameter semantics such as how 'count' affects the matrix or what constraints the spec should satisfy.

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 states a specific action ('Generate a deterministic edge-case test matrix') and identifies the resource ('for a feature spec') along with the edge-case categories covered. It is clear and its QA-focused purpose separates it from many siblings, though it does not explicitly name or contrast an alternative sibling.

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 phrase 'for a feature spec' gives some contextual guidance about when this tool applies, implying it should be used when QA edge cases are needed for a feature description. However, it provides no explicit exclusions, alternatives, or 'use this instead of X' guidance, leaving the agent to infer the appropriate selection among sibling tools.

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