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List the ranked lists

list_rankings
Read-onlyIdempotent

Every ranked list on https://www.aireceptionistrankings.com: the overall best AI receptionists plus the vertical (law firms, HVAC, plumbers, contractors, real estate, small business, solo owners) and attribute (cheap, flat-rate, Spanish, Clio, Jobber, HubSpot, after-hours) lists, with how each is ordered. Source: AI Receptionist Rankings, data read from vendor pages, https://www.aireceptionistrankings.com/

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The annotations already establish that this is a safe, read-only, idempotent, non-destructive operation in a closed world. The description adds useful scope and provenance by naming the site, the list categories, and the ordering information, though it does not describe pagination or exact response shape.

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 description is front-loaded with the core purpose and then enumerates the list categories efficiently. It is a single sentence with some redundancy from repeating the URL, but every element is relevant to what the tool returns.

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?

For a no-parameter discovery tool with no output schema, the description is complete enough: it says the tool returns every ranked list and includes ordering information. It does not spell out the exact response structure, but that is a minor gap given the tool's simplicity.

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?

There are zero parameters, so there is no parameter semantics to explain. The baseline score for a parameterless tool is 4, and no missing parameter documentation creates a gap.

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 verb/resource: it lists every ranked list available on the site and enumerates the overall, vertical, and attribute categories. It is clear what the tool returns, but it does not explicitly distinguish itself from the sibling get_rankings tool, which likely retrieves rankings within a list.

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?

The description explains what the tool returns but gives no explicit guidance on when to use it versus compare_vendors, get_rankings, or get_vendor. An agent can infer that this is a discovery tool for available lists, but the routing decision is left implicit.

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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