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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so the description needn't restate safety. It adds genuine value by disclosing the return shape (relevant passages annotated with page URLs), which matters because there is no output schema.

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, zero filler, with the search action and query mode front-loaded and the return behavior second. Nothing could be cut without losing information.

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 this covers what it does and what it returns, and annotations cover the safety profile. Minor gaps: result count, ranking behavior, and whether results are scoped to a specific product area are unstated.

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 single required parameter is documented with an example in the schema itself. The description's 'natural-language question' phrasing adds a small hint about query formulation, but nothing beyond that — baseline 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?

States a specific verb (search) and resource (viaSocket documentation) plus the query mode (natural-language question). It is clearly distinct from retrieval-style siblings like get_viasocket_api_docs, but it never names them to make the distinction explicit.

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 implied by the phrase 'natural-language question,' which suggests conceptual/how-to lookups rather than endpoint reference lookups. However, no when-to-use or when-not-to-use guidance is given against get_viasocket_api_docs or quickstart-viasocket-developer-hub, which an agent could easily confuse with this tool.

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