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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds useful context beyond that — the FTS5 engine, the fixed corpus size, and the sub-millisecond latency — but says nothing about ordering, whether limit is capped, or what a hit looks like, which matters for a search 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 sentence with no filler; the scale and domain of the corpus are front-loaded and every phrase carries information. Nothing needs to be trimmed.

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?

The tool is simple (two params, 100% schema coverage, annotations present), so most of the burden is already met. However, with no output schema the description should describe the shape of a result record or at least the ranking/ordering, and it does not.

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%, so both query and limit are already documented with an FTS5 example and a default. The description adds no additional meaning about query syntax, tokenization behavior, or how limit interacts with ranking, so the baseline of 3 is appropriate.

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 gives a specific verb ('search') and a specific corpus ('17,671 Google Cloud, Vertex AI, and A2A service records'), so an agent can tell this is a catalog lookup tool rather than a CVE audit or package health check. It stops short of naming or contrasting the closest sibling, vault_knowledge_search, which is also a search tool.

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 by the corpus scope: use it when you need to find a Google Cloud / Vertex AI / A2A service entry. There is no explicit statement of when to prefer this over vault_knowledge_search, nor any exclusion or prerequisite guidance.

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