Instant Receptionist — a working app in one call

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

The description discloses key behavioral traits beyond annotations: it costs 3 MESH per call, requires no account/card/phone number, and returns a live URL. These details add meaningful context and align with the openWorldHint=true annotation, with no contradiction.

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 somewhat repetitive, starting with the title phrase 'Instant Receptionist — a working app in one call' and then repeating similar wording. It is a single long sentence with multiple clauses and parentheses, which could be streamlined for clarity.

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?

Given the lack of an output schema, the description does a good job explaining the output (a live URL) and the key input expectations. It also covers cost and prerequisites. However, details about ongoing behavior, cancellation, or data lifetime are absent, which would make it more 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?

The input schema only provides a generic 'Capability-specific payload' description, which is not helpful. The tool description mentions giving 'a business name, trade and area,' which adds some meaning, but it does not specify exact field names or structure, leaving ambiguity.

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 a working, branded AI receptionist and returns a live URL. It identifies a specific verb ('Order') and resource ('branded AI receptionist'), distinguishing it from sibling tools like agent-brain or biz-analyze.

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 intended use case is implied: use this tool when you need a ready-made AI receptionist for a business. However, it does not explicitly contrast with alternatives or state when not to use it, leaving room for clearer guidance.

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