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Compare receptionists at a call volume

compare_at_volume
Read-onlyIdempotent

Monthly cost of every AI or virtual receptionist at a call volume and call length, lowest first, from each vendor's cheapest published plan plus overage. Quote-only vendors are listed separately. Defaults: AI receptionists, 3-minute calls. Source: ReceptionistPrices.com, prices checked October 26, 2026, https://www.receptionistprices.com/ai-receptionist-cost/

Input Schema

NameRequiredDescriptionDefault
typeNoai
callsYesCalls a month (13 calls a day, the small-business average in Google CallJoy's testing, is 390)
minutes_per_callNoAverage minutes per call

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. Beyond that, the description adds genuinely useful behavior: results are sorted lowest first, quote-only vendors appear in a separate section, defaults are AI receptionists and 3-minute calls, and the data source and refresh date are disclosed. What is missing is return-shape or pagination detail, keeping it at a 4.

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 core capability and ranking order are front-loaded, and the second sentence efficiently carries defaults and provenance. It is dense and single-paragraph but every clause adds information; the inline URL and check date are the only slightly clunky elements.

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

Completeness5/5

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

With no output schema and a read-only comparison tool, the description covers what matters: what is computed, the pricing method, ordering, separate handling for quote-only vendors, defaults, and source freshness. An agent could call this correctly without further context.

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

Parameters3/5

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

Schema coverage is 67%, so the schema documents most parameters; the description reinforces two defaults ('AI receptionists, 3-minute calls') that map to type and minutes_per_call. The calls parameter, which is required and carries domain context in the schema, gets no additional explanation in the description. At moderate coverage this is a baseline 3.

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

Purpose4/5

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

The description gives a specific resource and scope: monthly cost of every AI or virtual receptionist at a given call volume and call length, ranked lowest first. It also discloses the pricing methodology (cheapest published plan plus overage) and how quote-only vendors are handled, so an agent knows exactly what the output represents. It never names a sibling such as get_vendor_pricing to draw the contrast explicitly, which is why it stops short of a 5.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: 'at a call volume and call length' plus defaults tells the agent roughly when it applies, but there is no explicit when-to-use/when-not or named alternative (e.g., use get_vendor_pricing for a single vendor). The guidance is adequate but leaves comparisons with siblings to inference.

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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