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Bay Area Mobile Dog Wash Booking

get_services

What Bay Area Mobile Dog Wash offers: full-service mobile dog washing at the customer's home (San Jose + nearby South Bay), prices by dog size, add-ons, and the first-wash discount. 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

A4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden. It transparently discloses the scope of returned content (services, size-based pricing, add-ons, discount), which is the main behavioral trait an agent needs for a read-only info tool. It doesn't describe auth or whether results are static, but for a zero-parameter catalog call those are minor.

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?

Two compact sentences, front-loaded with the resource and then the routing instruction. The content list is slightly dense but every item earns its place by telling the agent what questions it can answer.

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 static, zero-parameter info tool with no output schema, the description covers what the agent needs: what the tool returns and when to reach for it. No return-value explanation is required since there's no output schema. It could more explicitly route against the two booking siblings to be fully complete.

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 and the schema is empty with additionalProperties false, so there is nothing for the description to disambiguate. Baseline 4 applies.

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 states a specific verb and resource: it returns what Bay Area Mobile Dog Wash offers, and enumerates the content (services, prices by dog size, add-ons, first-wash discount). It also positions itself relative to the booking siblings by saying to call it first for questions, though it doesn't name book_wash or get_available_slots explicitly.

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 clear when-to-use guidance and implies it precedes booking flows, which is the key routing decision against book_wash and get_available_slots. It doesn't state when-not to use it or name the alternatives, so it stops short of a 5.

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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