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Well Prepped Life Booking

get_services

What Well Prepped Life offers: fresh chef-cooked meal-prep delivery for seniors and disabled adults in the SF Bay Area, pricing, and how to get started. Call this first to answer questions about the service.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. The content is obviously informational (service details, pricing, onboarding), which implicitly signals a safe, side-effect-free read, but the description never states read-only behavior, freshness, or whether results are static versus dynamic. For a zero-parameter static-content tool the risk is low, so this is adequate rather than strong.

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?

One content sentence plus a short imperative, front-loaded with the resource description and ending with the routing cue. Efficient and free of filler, though the list-style enumeration ('pricing, and how to get started') is slightly loose.

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 annotations and no output schema, the description compensates by enumerating the categories of information returned (offering, pricing, onboarding), which is what an agent needs to decide whether this call answers a given user question. It is complete enough for a simple, parameterless info tool; only the absence of any return-shape hint keeps it from a 5.

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 no parameters and the schema is empty with additionalProperties=false, so there are no parameter semantics to explain. Per the zero-parameter baseline this scores 4; nothing in the description conflicts with the schema.

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 names the concrete resource served (service offering, pricing, getting-started info) for a zero-parameter retrieval tool, so an agent knows what it will get back. It implicitly separates this informational tool from the booking-oriented siblings (book_consultation, get_available_slots), though it never names them. No explicit verb ('get'/'returns'), but the resource is unmistakable.

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?

'Call this first to answer questions about the service' gives a clear directive on when to reach for it, and the 'first' ordering implies precedence over the booking siblings. It stops short of naming an alternative tool or stating when NOT to use it, so it falls just short of the top band.

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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