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

No annotations exist, so the description carries the full burden. It does disclose the return payload ('ranked results with titles, summaries, and article paths') and that ranking is by relevance, which is genuine behavioral value. It says nothing about result caps beyond the schema default, pagination, latency, or auth requirements.

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 tight sentences with zero filler, and the core capability is front-loaded before the return-format detail. Appropriately sized for a simple search tool.

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 usefully names the return fields, which is the main thing an agent would otherwise lack. However, it omits any mention of the category filter or result-limit behavior at the description level and gives no guidance on corpus scope or result handling, leaving it minimally viable rather than complete.

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 all three parameters (query, category, maxResults) are already documented in the schema, including the enum-like category list and the default/max for maxResults. The description adds no syntax, operator, or matching-behavior detail beyond that, so baseline 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?

States a specific verb ('Full-text search') and resource ('Grandpa's AI research corpus'), and previews the return shape. It is clearly distinguishable from siblings like get_article or list_categories, though it never names an alternative explicitly.

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 'search' — an agent knows to reach for it when it has keywords rather than an article ID — but there is no stated when-to-use/when-not-to-use guidance and no routing to get_article, get_latest_research, or get_topic_tree for other retrieval needs.

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