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QA Engineering MCP Hub

QA Engineering MCP Hub

by yafifaisal

Hub Capabilities

hub_capabilities

Returns implemented and planned capabilities for the QA Engineering MCP Hub, clarifying current support without overstating availability.

Instructions

Return implemented and planned capabilities without overstating support.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
plannedYes
implementedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, but it does add one meaningful behavioral caveat: it returns both implemented and planned capabilities and should not overstate support. It does not state that the operation is read-only, side-effect free, or how 'planned' should be interpreted.

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?

One front-loaded sentence with no wasted words. The wording is efficient, though the phrase 'without overstating support' is slightly vague and could be sharper.

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?

Because an output schema exists, the description needn't explain return values, and with zero parameters the input side is trivial. It is nearly complete, though a read-only safety note and explicit sibling contrast would close the remaining gap.

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?

The tool takes zero parameters, which is the baseline-4 case. The schema is trivially complete and the description adds no contradictory parameter expectations.

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 gives a specific verb ('Return') and resource ('implemented and planned capabilities'), so an agent can tell this is a capability-discovery tool rather than a health probe. It does not explicitly name or contrast with the sibling hub_health, leaving differentiation partly to inference.

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?

There is no explicit when-to-use guidance, no mention of the hub_health alternative, and no stated preconditions. The usage is only implied by the word 'capabilities'.

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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