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. 'Get search suggestions' implies a read-only lookup, which is useful, but there is no disclosure of return shape, result limits, rate limiting, or authentication needs for a database-backed endpoint.

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?

Two short sentences, front-loaded with the purpose and domain of suggestions. Minor redundancy between 'Autocomplete helper for search inputs' and 'Get search suggestions,' but no filler.

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 single-parameter helper with no output schema, the description covers what it is, what it takes, and the domain of acceptable inputs. Slightly thin on what the returned suggestions look like, but adequate for such a simple 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 the nested body/query structure is fully documented in the schema with examples. The description adds domain context ('vendors, products, CVEs') that tells the agent what kinds of strings are valid queries, going slightly beyond the schema's own examples.

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+resource combination: a suggestion/autocomplete helper for search inputs, with concrete examples (vendors, products, CVEs). It is not differentiated from siblings such as search_lucene or search_cpe, which an agent could plausibly confuse with a suggestion endpoint.

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?

Implicit usage is conveyed by 'for search inputs,' suggesting this returns suggestions rather than results. However, it never states when to prefer this over the real search tools (search_lucene, search_cpe), nor any exclusions or prerequisites.

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