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Radu Stoian MCP Server

Ask Radu Stoian

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Read-onlyIdempotent

Answers generic or specific questions about Radu Stoian using a dynamic retrieval engine that grounds its answers by pulling from the site's knowledge base, along with external investigation links.

Input Schema

NameRequiredDescriptionDefault
queryYesThe natural language question to ask about Radu Stoian (e.g. 'What did Radu achieve for his clients?', 'Who is Radu Stoian?', 'What certifications does he hold?')
questionNoBackward-compatible alias for query

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / query / description
      Previous value: -"The natural language question to ask about Radu Stoian (e.g. 'What did Radu do for Virgin Atlantic?', 'Who is Radu Stoian?', 'What certifications does he hold?')"New value: +"The natural language question to ask about Radu Stoian (e.g. 'What did Radu achieve for his clients?', 'Who is Radu Stoian?', 'What certifications does he hold?')"
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorldHint=false, so the safety profile is covered. The description adds real value by disclosing that answers are grounded in the site's knowledge base and supplemented with external investigation links, but it omits answer format, latency, and behavior on unanswerable questions. The 'external investigation links' phrasing sits slightly awkwardly against openWorldHint=false, though it appears to describe link content rather than live external calls, so no contradiction is flagged.

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 the core verb and subject up front, followed by the retrieval mechanism. Mildly padded by 'dynamic retrieval engine that grounds its answers by pulling from', but no sentence is wasted.

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 no output schema, the description must hint at what comes back; it only says answers are grounded in the knowledge base plus external links, without describing answer shape, citation behavior, or failure output. Annotations and a fully documented schema carry the rest, so this is adequate but incomplete.

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%: both 'query' (with three example questions) and the 'question' alias are fully documented in the schema. The description adds no guidance on phrasing, scope limits, or when the alias should be preferred, so the baseline 3 applies.

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 names a specific verb ('Answers ... questions') and resource ('about Radu Stoian'), and explains the retrieval mechanism that produces the answer. It is clearly distinct from get-investigation-links, get-section, and server-info, though it never explicitly routes the agent away from those siblings even though it mentions the 'external investigation links' they expose.

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 'generic or specific questions' implies this is the natural-language Q&A entry point, so usage is inferable rather than stated. There is no explicit when-to-use versus get-section or get-investigation-links, and no statement about what to do when the knowledge base cannot answer.

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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