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Moonshot Lab (demo)

get_price_breakdown

Price components, dealer fees and fee bundles, all-buyer vs conditional incentives, options and the state's public tax and fee rules with data-flag checks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listing_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral burden; the 'get_' prefix implies read-only but this is never stated. It says nothing about whether data-flag checks may cause fields to be missing or flagged, nor about freshness, required listing state, or error behavior.

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?

It is a single compact sentence with no filler, but it is a noun-phrase inventory rather than a front-loaded statement of what the tool does. The trailing 'with data-flag checks' is tacked on without explaining what that means for the caller.

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

Completeness3/5

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

There is no output schema and no annotations, so the description must cover both behavior and returns. It partially compensates by enumerating output components, but omits usage conditions, permissions, and required listing state, leaving gaps for an agent deciding whether to call it.

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?

Only one parameter (listing_id) and schema description coverage is 0%, so the description adds no semantics for it. However, a single self-evident identifier is a low-burden case, so this sits at the minimum-viable baseline rather than being penalized further.

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 enumerates the data categories the tool covers (price components, dealer fees, incentives, tax rules), which implies a retrieval of a price breakdown, but it never states a verb or resource ('Returns the itemized price breakdown for a listing'). It also gives no signal distinguishing it from the sibling estimate_out_the_door, which plausibly overlaps on pricing.

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 when-to-use guidance, no mention of prerequisites (does the listing need to be priced/configured first?), and no reference to alternatives such as estimate_out_the_door despite the obvious overlap. The agent must infer the usage context entirely.

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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