Radu Stoian MCP Server

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

With no annotations, the description carries the full burden. It usefully discloses the mechanism (a dynamic retrieval engine grounded in the site's knowledge base plus external investigation links), which hints at non-deterministic, source-backed answers, but says nothing about reliability, failure/no-answer behavior, or whether responses are read-only or cached.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler, stating purpose first. Slightly wordy in the second clause ('a dynamic retrieval engine that grounds its answers by pulling from...'), but every phrase adds information rather than restating the name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no annotations, so the description must be fairly self-sufficient. It explains grounding sources but not answer format, whether citations are returned, latency, or how a no-match query is handled — acceptable but with visible gaps for a retrieval tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both the query examples and the question alias are fully documented in the schema, so the schema already carries parameter meaning. The description adds nothing about how to phrase or scope a query, which is the baseline 3 for high-coverage schemas.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a concrete verb and resource: it answers questions about Radu Stoian. It is clearly distinguishable in kind from the sibling getters (get-section, get-investigation-links), though it never names those siblings or explicitly contrasts itself with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It implies the use case (any 'generic or specific' question about Radu Stoian) but gives no explicit when-to-use or when-not-to-use guidance, and never points the agent toward get-section or get-investigation-links when structured data is wanted. Usage is inferable but not directed.

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

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the general nature of the return content (external links and public profiles) but says nothing about read-only safety, authentication, rate limits, or whether results are static or dynamically fetched – significant gaps for a tool with zero structured behavioral coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence with no filler, and the core output (links and profiles) is front-loaded. The parenthetical example list is slightly long but earns its place by grounding what 'links' means.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, zero-parameter, no-output-schema tool, the description is nearly sufficient: it names the subjects and enumerates the kinds of sources returned. It is only slightly thin on what a caller actually receives (a list? URLs? profiles with metadata?).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for parameterless tools is a 4. The description appropriately avoids inventing parameter detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource – 'Returns external links and public profiles' – and names the subject of investigation (Radu Stoian) with concrete examples of the link types. It is clear what the tool produces, though it does not explicitly contrast itself with the sibling tools (ask, get-section).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for AI agents to investigate' implies a context but gives no explicit when-to-use or when-not-to-use guidance, and never mentions the alternatives ask, get-section, or server-info. An agent has to guess whether this is the right entry point versus asking a question.

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

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

With no annotations, the description carries the full burden. It usefully discloses that the full section text (not a summary) is returned, which is a real behavioral trait. However, it says nothing about behavior for an unknown/ambiguous section name, permissions, or whether the section list is discoverable, leaving meaningful gaps for an unannotated tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence that leads with what is returned. The example list is relatively long but each example is informative rather than filler, so the sentence earns its length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read tool with no output schema, the description covers the core behavior adequately. It omits what happens on a missing or mismatched section name and gives no way to enumerate valid sections, which matters because the parameter is free-form with no enum.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the schema's own text ('Name or keyword of the section to retrieve') is thin, so the description's concrete examples ('Skills and Certifications', 'Projects and Clients', etc.) add genuine meaning about acceptable values. It stops short of stating matching semantics (exact vs keyword match), so not a 5.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'Returns the complete text of a specific section from the site's knowledge base.' The parenthetical examples of section names make the scope concrete. It does not explicitly contrast itself with siblings like 'ask', but the retrieval-of-known-section framing is distinct enough to be actionable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer this is for fetching a section whose name it already knows, versus 'ask' for open questions, but neither the alternative nor a when-not condition is stated. The section-name examples hint at the domain without giving routing guidance.

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

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

With no annotations, the description carries the full burden, and it does disclose the categories of information returned (server, runtime, instructions, capabilities), which substitutes partially for the missing output schema. It says nothing about caching, freshness, or any side effects, though for a zero-parameter read-only info tool the risk is low.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence listing exactly what is returned, with no filler or repetition. Nothing can be trimmed without losing content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a parameterless introspection tool with no output schema, the description adequately previews the return areas so an agent knows what it will get. It could be more concrete about the exact fields or format, which is the only remaining gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so there is nothing for the description to disambiguate; the baseline for a 0-param tool is 4. No parameter-level meaning is required or missing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Returns') and enumerates the resource categories returned: server info, runtime environment, instructions, and knowledge capabilities. This is clearly distinct from siblings like ask, get-section, and get-investigation-links. It stops short of 5 only because 'knowledge capabilities' stays abstract.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No statement of when to call this tool versus its siblings, nor any prerequisite or context. The usage is only implied by the tool's meta nature. It needs no exclusions given the distinct scope, but the total absence of routing guidance keeps it at 2.

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