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

Annotations already declare readOnlyHint, idempotentHint, and closed-world behavior, so safety is covered. The description adds real context beyond that: the data source distinction (org KB vs. product docs) and the shape of each listed record (titles, tags, source type taxonomy, sizes). It stops short of describing pagination behavior or result ordering, which keeps it at 4.

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?

Three short sentences, front-loaded with the source clarification before the operation and the sibling routing. The mid-sentence parenthetical is slightly clunky but carries essential disambiguation, so nothing is wasted.

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?

An output schema exists, so return values need not be spelled out, and the schema fully documents the filters. The one gap is that neither description nor annotations mention default page size or navigation across pages — the schema covers it only implicitly via defaults.

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 all three parameters (tag, limit, offset) carry clear inline descriptions with bounds and defaults. The description adds no filtering or pagination semantics of its own, so the baseline of 3 applies.

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?

Names a specific verb and resource ('List the articles') and scopes it to the organization's knowledge base, with a parenthetical that rules out Spun's product documentation. The returned fields (titles, tags, source type, sizes) further pin down what the operation yields, so it is unmistakable next to kb_get_article, kb_search, or search_knowledge.

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?

Explicitly routes the agent: use search_knowledge for product documentation, kb_get_article for the text of a single article, kb_search for meaning-based lookup. Both the when-to-use and the when-not-to-use cases are stated with named alternatives.

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