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Soundcheck Live Event Quotes

Get public place by id

get_place
Read-only

Look up one entry from the seeded public industry places catalog by stable id (e.g. venue_red-rocks-amphitheatre). Not org-private CRM data; returns not found when the id is absent from the seed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesstable catalog id, e.g. venue_red-rocks-amphitheatre

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

A4.3/5.0
Behavior4/5

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

Annotations already mark the tool as read-only and non-destructive, so the description adds meaningful behavioral context: the data comes from a seeded public catalog, it is not org-private CRM data, and an absent id returns not found. This goes beyond the structured annotations.

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 with no filler. The core lookup behavior is front-loaded, followed by a useful data-scope caveat. Every sentence earns its place.

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 lookup with an output schema and closed-world annotations, the description covers data source, id stability, scope exclusions, and not-found behavior. Nothing essential 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?

Schema description coverage is 100% and the schema already documents id as a 'stable catalog id' with the same example. The description reinforces the example and data-source context but does not add new parameter-level meaning beyond the schema.

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 and resource: 'Look up one entry from the seeded public industry places catalog by stable id.' It clearly distinguishes itself from search_places by emphasizing a single lookup by stable id, not a search.

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?

The description establishes when to use this tool: retrieving a specific known place by stable id. It also clarifies an exclusion ('Not org-private CRM data') and notes the closed-world behavior, though it does not explicitly name search_places as the alternative for lookup by criteria.

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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