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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile needs no restating. The description adds genuine behavioral value by disclosing the response payload (price, availability, lead time, key specs), which the agent cannot infer elsewhere since no output schema exists. It says nothing about result limits, pagination, ranking, or whether zero-result queries fail or return empty.

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 sentences, both load-bearing: the first scopes the catalog with concrete model names, the second declares the return payload. No filler, no restatement of the tool name, and the most decision-relevant information (what is searchable) is front-loaded.

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 zero-required-parameter read-only search over a closed catalog, this is close to complete: what is searchable and what is returned are both stated, and annotations cover safety. The remaining gap is operational — no mention of result-count caps, ordering, or how to widen an over-narrow query — which matters when the agent iterates toward a quote.

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 67%, so the description only needs to close a modest gap. Its product-family enumeration usefully maps colloquial families onto the undocumented 'category' enum values (e.g. Wego2/4/6 -> 'Egocentric capture rig', Spatial Robot -> 'LiDAR'), which is real added meaning. However it says nothing about 'max_price_usd' semantics or how 'query' keywords relate to category filtering, leaving the conjunction behavior unstated.

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 opens with a precise verb+resource ('Search VisionLibra hardware') and then enumerates the exact product families covered (Wego rigs, ToF sensors/cameras, Spatial Robot LiDAR, Spatial Hub/RobooPi computers, companion robots), so the agent knows exactly what corpus is searched. It also states what comes back (price, availability, lead time, key specs), which implicitly separates it from get_product_specs. It never names a sibling outright, so this stops short of a 5.

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: the enumerated catalog makes it obvious this is the entry point for finding VisionLibra products, and the stated return fields hint that this is a browsing/pricing tool rather than a deep-spec or quote tool. There is no explicit 'use this before request_quote' or 'use get_product_specs instead when you already have a product ID' routing, and no guidance on iterative refinement.

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