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Soundcheck Live Event Quotes

Check import file

check_import_file
Read-only

Check a Soundcheck import file (a UEF 2.0 document, as an object or JSON string) before importing it: the published schema (schema_version 2.x, known keys, types, required fields, phases), at least one record, every ref resolving to a record and never blank, no repeated ref, external_id or string-list entry, act names unique ignoring case, pack items carrying a non-blank name or external_id, the option vocabularies import applies (statuses, fee types — letter case and padding are forgiven), the field rules import applies (email shape, unpadded civil dates, ISO 4217 currency codes on events and ledger lines, positive ledger amounts and non-negative fees with at most two decimals, latitude and longitude ranges, plain IANA timezone names without offsets or padding), and the gig rules import applies (a ref or an inline venue/client, end_date not before event_date, multi-day gigs carry dates only, days inside the gig, HH:MM cue times). Returns valid, errors with paths such as events[0].days[1].date, missing_required paths, and schema_version. Deterministic and local — no AI, no org write, no invented fixes. Input is capped at 256 KiB.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uefYesUEF document as object or JSON string

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. Added

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the readOnly/openWorld=false/destructive=false annotations, the description discloses that the check is deterministic and local, performs no org write, invents no fixes, and caps input at 256 KiB. It also sketches the return shape (valid, errors with paths, missing_required, schema_version), which annotations alone cannot convey.

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 sentences, purpose and timing front-loaded, with no filler — every clause names a rule that is actually enforced. The second sentence is a dense nested run-on that would scan better as a list, which keeps it from a 5.

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?

For a single-parameter, read-only, deterministic validator with an output schema already present, the description covers input constraints, scope of checks, and the nature of the result. Nothing an agent needs to invoke it correctly is missing.

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?

The single parameter's schema description coverage is 100% and already documents the object-or-JSON-string duality the description repeats. The 256 KiB cap is a real constraint but is more behavioral than parameter-shape guidance, so the baseline 3 applies.

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 (check/validate) and resource (a Soundcheck UEF 2.0 import file) and enumerates the exact rule families enforced. An agent can immediately tell this is a pre-import validator, distinct from format-description siblings like get_import_format.

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?

"check ... before importing it" gives clear timing and intent, and "no AI, no org write, no invented fixes" clarifies what the tool will not do. It does not name any alternative tool or an explicit when-not condition, so it falls 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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