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Soundcheck Live Event Quotes

List illustrative estimate rates

list_quote_packages
Read-only

Returns the pricing catalog behind quote_event: event profiles, production tiers with their tech-hour and per-day gear rates, add-on packages, metro market indexes, and the rules (overtime, logistics, attendance scale, deposit steps, estimate band). SYNTHETIC and illustrative — published so a quote can be checked line by line, not a price list any organization charges.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYestrue on success (including confirmation_required prompts)
dataNotool payload (API/composite/confirmation object); object, array, or primitive JSON
errorNowhen ok is false

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so safety is covered. The description adds genuinely valuable context beyond those annotations: the data is SYNTHETIC and illustrative and 'not a price list any organization charges,' which prevents an agent from treating these as authoritative prices.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, both earning their place: the first front-loads the catalog contents, and the second delivers the essential synthetic-data caveat. No filler or repetition of structured fields.

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?

An output schema exists, so return values need not be explained, and the description still provides the enumerable contents and the critical 'synthetic, illustrative' framing. Nothing an agent needs to use the tool correctly is missing.

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, so parameter semantics are not applicable and the baseline of 4 holds. The description correctly adds no redundant parameter discussion.

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

Purpose5/5

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

States a specific verb ('returns') and resource ('the pricing catalog behind quote_event') and enumerates its contents so an agent knows exactly what it retrieves. The mention of 'behind quote_event' links it clearly to the sibling that consumes it, separating it from lookup_market_pricing.

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?

Gives strong context for use — 'published so a quote can be checked line by line' — implying it is the reference to consult when validating or explaining a quote. It does not explicitly name an alternative or a when-not condition, so it falls just short of full routing guidance.

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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