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

Annotations already indicate readOnly=false and openWorld=true, and the description adds meaningful behavioral details beyond them: it returns a live URL, costs 3 MESH/call, requires no setup or payment, and adapts to the trade's industry language. No contradiction with annotations.

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?

The description is unnecessarily verbose and marketing-heavy: it repeats the title, uses excessive capitalization and em-dashes, and ends with parenthetical metadata ('a tool · business'). Key information could be conveyed in half the length.

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?

Even without an output schema, the description covers the essential complete picture: inputs (business name, trade, area), output (live URL), cost (3 MESH/call), and no-install/no-account friction. It doesn't cover edge cases like fallback behavior, but the schema documents the required-trade error.

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 schema already provides 100% parameter coverage, including aliases, maxLengths, defaults, and the trade_required error. The description merely rephrases the inputs ('business name, trade and area') without adding new parameter-level specifics.

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 clearly states the tool orders/creates a branded AI receptionist and returns a live URL, with explicit inputs (business name, trade, area). It distinguishes itself from sibling tools by its specific industry-focused use case.

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?

Provides a clear use context ('Order a WORKING, branded AI receptionist for any business in one call') and practical preconditions ('Nothing to install, no account, no card, no phone number'), but does not explicitly mention exclusions or alternatives among sibling tools.

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