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Latchbell

My front desk setup

front_desk
Read-only

Owners only (needs sign-in): Read the owner’s full front desk setup, publication state, customer contact page, agent information link and the changes waiting for the owner’s OK (pending_approvals). This is private owner information; do not share it with customer agents. Phone and billing preferences do not activate services. Change preferences with update_front_desk.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "front_desk"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the description correctly does not restate safety. Instead it adds value the annotations cannot: an authentication/ownership requirement, a confidentiality constraint on the returned data, and the caveat that phone and billing preferences do not activate services. That last point is a useful behavioral nuance about what the values in the setup actually mean.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The content is front-loaded: audience and precondition come first, then the payload contents, then the privacy warning and the sibling pointer. Every sentence carries information, though the 'Phone and billing preferences do not activate services' clause is somewhat tangential and slightly interrupts the flow toward the update_front_desk pointer.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema present, the description takes on the burden of explaining the return contents, and it handles this well by enumerating the setup components and pending approvals. Auth requirements and privacy handling are also covered, leaving only minor gaps such as payload format or size/pagination expectations for a full setup read.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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 and no schema semantics need compensating. The description uses the space to name a meaningful returned field (pending_approvals), giving a hint at payload shape rather than parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a concrete verb ('Read') and a specific resource ('the owner's front desk setup'), then enumerates exactly what is returned: publication state, customer contact page, agent information link and pending_approvals. It also distinguishes itself from update_front_desk, so an agent can tell the read tool from the mutation sibling without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states the audience and precondition ('Owners only (needs sign-in)') and routes change requests explicitly to update_front_desk. It also warns not to share the payload with customer agents, which is a clear usage constraint. The only gap is the absence of an explicit statement of when this tool should not be called beyond that privacy restriction.

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

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