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get_skills

Read-only

Query Zain Ahmed's exhaustive categorized technology stack across Kubernetes, Multi-Cloud, IaC, DevSecOps, Observability, and Agentic AI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoSkill category: all, multiCloud, containersAndOrchestration, infrastructureAsCode, ciCdAndGitOps, agenticAiAndMlOps, observabilityAndSre, securityAndCompliance, programmingLanguages

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds only that the stack is 'exhaustive' and categorized, without saying whether omitting the category returns everything or how results are grouped.

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?

A single front-loaded sentence with no filler. It is efficient, though the long adjective phrase ('exhaustive categorized technology stack') is slightly padded relative to the content delivered.

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?

With an output schema present, return values need not be explained, and a one-optional-parameter read-only tool is simple. Still, the description omits when-to-use guidance and default behavior for the optional category, leaving minor gaps for an agent to resolve.

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 category parameter and its accepted values are already fully documented in the schema; this is the baseline 3 case. The description's domain list (Kubernetes, Multi-Cloud, IaC, etc.) loosely mirrors the enum values but adds no syntax or default behavior beyond the schema.

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 uses a specific verb ('Query') and resource ('categorized technology stack'), and lists the domains covered, so an agent knows what comes back. It does not, however, explicitly distinguish itself from sibling data-retrieval tools like get_certifications or get_profile, which also expose portfolio facts.

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 indication of when to call this instead of get_certifications, get_profile, or get_services, nor any note that the category parameter can narrow results. Usage is left entirely to inference from the tool name.

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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