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Soundcheck Live Event Quotes

Request sponsorship

request_sponsorship

Submit a sponsorship inquiry to a Soundcheck organization. Creates an inbound sponsor lead the org will follow up on. Requires organization_id, name, and email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesthe prospective sponsor's name
emailYesthe sponsor contact email
phoneNothe prospective sponsor's phone
messageNoadditional sponsorship details or context
websiteNothe sponsor's website or company URL
organization_idYesthe Soundcheck organization to approach (slug or id)
estimated_budgetNoapproximate sponsorship budget, free-form
sponsorship_interestNowhat they want to sponsor / their interest

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

A4/5.0
Behavior4/5

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

Annotations only mark readOnly, openWorld, idempotent, and destructive as false; the description adds a meaningful behavioral consequence by saying the call 'Creates an inbound sponsor lead the org will follow up on.' This discloses state-changing behavior and follow-up expectation beyond what the annotation booleans convey, though it omits details like duplicate handling or required permissions.

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?

The description is two tight sentences that front-load the primary action, then add the key outcome and required inputs. There is no filler, repetition, or unnecessary detail.

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 a complete input schema and an output schema available, the description provides enough operational context: what the tool does, what it creates, and what inputs are mandatory. It could go slightly further by noting that optional fields are accepted for richer sponsor context, but that information is readily available in the schema.

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?

Parameter schema coverage is 100%, so the schema fully documents all eight fields. The description only repeats that organization_id, name, and email are required, which is already in the schema; it adds no new semantic context about the optional fields or their relationships.

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?

The description opens with a specific verb and object: 'Submit a sponsorship inquiry to a Soundcheck organization.' It then clarifies the effect ('Creates an inbound sponsor lead the org will follow up on'), which makes the tool's role unmistakable and distinct from siblings like request_booking or quote_event.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context for a sponsorship-inquiry scenario and lists required fields, so an agent can infer when to call it. However, it does not explicitly mention alternatives, exclusions, or conditions that would route the agent away from this tool, leaving usage guidance somewhat implied rather than stated.

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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