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

Annotations already mark this read-only, non-destructive and closed-world, but the description adds substantive behavior beyond them: answers are grounded only in 'the book's own pages,' it may cite up to 3 agents with verified badges, it admits when the book does not say, and it enforces a quota of 'ten questions a day.' The non-idempotent annotation is consistent with an LLM answering the same question differently.

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 sentences, front-loaded with what the tool is and what it covers, then behavior and limits. The topic list is slightly long but every item maps to a real question domain, so little 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?

With no output schema, the description carries the return-value burden and does so: grounded answers, optional citations of up to 3 verified agents, and explicit acknowledgement when the book is silent. Combined with the stated daily quota, an agent has everything needed to call this correctly.

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 0% for the single 'question' parameter, so the description must compensate. It does so by enumerating the kinds of questions accepted, effectively defining valid parameter content; only the 500-character cap is left undocumented, which is a minor gap for a self-evident string field.

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 and resource: 'Ask the book's assistant (an AI) a question about allagents.' It also enumerates the subject domain (listing/editing/claiming cards, badges, finding agents), which clearly separates it from data-lookup siblings like get_agent or search_agents.

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?

The listed question topics ('how to list, edit, claim or withdraw a card, what the badges mean, how to use the directory from an assistant') make it clear this is for meta/how-to questions rather than agent lookups, which implicitly routes the agent away from the sibling tools. However, it never explicitly names an alternative tool or states a when-not-to-use condition.

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