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Set up a phone menu

upsert_menu

Creates or edits a press-1 menu. Each key rings a person or a queue. Business plan. A caller can reach a person this way. An AI receptionist does not transfer a live conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
keysNo
nameNo
enabledNo
greetingNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=false, so the safety profile is known. The description adds a non-obvious behavioral fact—that an AI receptionist does not transfer a live conversation—which is useful context. However, it omits critical operational details: the upsert semantics (how matching is done, e.g., by id vs name), the effect of leaving fields empty (all parameters are optional), and what happens to existing menu keys on edit.

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

Conciseness3/5

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

The description is appropriately short (three short sentences) and front-loads the core action. However, the final sentence about AI receptionists and live transfers is tangential and not clearly tied to this tool's parameters or behavior, making the structure feel slightly disjointed rather than fully focused.

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

Completeness2/5

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

For a mutation tool with no output schema, five undocumented parameters, and only partial annotations, the description is incomplete. It does not explain the upsert matching logic, permissions (beyond a vague 'Business plan' mention), or how optional fields interact, so an agent would lack sufficient information to call the tool correctly and predict its effects.

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

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage and 5 undocumented parameters, the description carries full responsibility, but it only vaguely explains the `keys` parameter ('Each key rings a person or a queue') and ignores `id`, `name`, `enabled`, and `greeting` entirely. It does not clarify that all parameters are optional or describe acceptable formats for key mappings, leaving significant gaps for an agent trying to construct a valid call.

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

Purpose3/5

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

The description states a specific verb+resource (creates or edits a press-1 menu), which is clearer than the bare name. However, 'press-1 menu' is a colloquialism that doesn't map cleanly to the tool identifier or distinguish it from sibling tools like upsert_queue or upsert_receptionist. It lacks the standard PBX/IVR terminology that would make its purpose unambiguous to an agent.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternative menu/routing tools such as upsert_queue, upsert_receptionist, or set_number_routing. The note 'A caller can reach a person this way' and 'An AI receptionist does not transfer a live conversation' hints at a distinction but does not state when to prefer one mechanism over another, leaving the agent to infer routing logic.

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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