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.