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 is covered. The description adds non-annotation value by disclosing the return shape (titles, summaries, matching passage), which matters because there is no output schema. It omits result limits, ordering, and behavior when no query is supplied, which keeps it below a 5.

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, zero filler. What it searches and what it returns come first; the routing hint to get_insight follows, which is the right priority order.

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?

With no output schema, the description correctly compensates by naming the returned fields and the tool that yields full text. The only gap is the odd case of an optional query — nothing says what a query-less call returns, which is a real ambiguity given required parameters = 0.

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 sole parameter's description already states that keywords match against title, summary and body. The description's mention of topical domains adds corpus context but no matching syntax, phrase handling, or empty-query behavior. Baseline 3 is appropriate when the schema carries the parameter meaning.

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 specific verb (search) and resource (his articles) and even scopes the corpus (technical leadership, fractional CTO work, AI, building SaaS). It distinguishes itself from the sibling get_insight by making clear this is the keyword-search entry point rather than full-text retrieval.

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 explicitly names the follow-up path: 'Call get_insight with a slug for the full text of one,' which routes the agent correctly when summaries are insufficient. It stops short of stating when *not* to use search or how it relates to other content siblings like get_faqs or get_case_study, but the primary alternative is covered.

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