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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds value beyond that by scoping the content domain — who receives quotes, what happens to unclaimed listings, cost, and the claim flow — which tells the agent what answers it can rely on this tool for. It does not state the response format, but that is a small omission for a pure explanatory tool.

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, front-loaded with the core purpose and followed by the usage trigger, with no filler. The topic enumeration is long but each item maps to a distinct piece of the documented content, so it earns its space rather than padding.

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 parameters, no output schema, and full annotation coverage, this description carries only the burden of stating what content the tool returns and when to call it — both of which it does. The only missing element is any hint of the return shape (free-text explanation vs. structured FAQ), which is a minor gap for a tool of this simplicity.

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?

The tool takes zero parameters, so the baseline is 4; there is no parameter meaning for the description to add or omit. The description correctly implies a parameterless content lookup with no input required.

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 opens with a specific verb ('Explain') and a precise resource ('how quote requests work on Wired Home Pros'), then enumerates the exact topics covered: recipients, unclaimed listings, cost to homeowners, requesting a quote, and business listing claim. This makes it unmistakable against the sibling tools (get_installer, list_trades, search_installers), which are lookup operations rather than explanatory content.

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 gives a concrete trigger: 'Use it before telling someone what will happen after they ask for a quote,' which tells the agent exactly when this content should be surfaced. It stops short of naming when-not-to-use or contrasting with an alternative, but no sibling plausibly competes for the same intent, so the gap is minor.

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