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StudioVector: Chat with your Mindbody

Get Locations

get_locations
Read-onlyIdempotent

Get Locations — GET /site/locations Mindbody calls: 1.

Get locations for a site.

Input Schema

NameRequiredDescriptionDefault
limitNoNumber of results to include, defaults to 100
offsetNoPage offset, defaults to 0.
siteIdNoSite to call (SiteId header). Default -99.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds the endpoint and a cost signal ("Mindbody calls: 1"), which is genuinely useful beyond annotations, but says nothing about pagination behavior or whether the result set is bounded.

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 short and front-loaded, but wastes a line repeating the title and uses a terse, unexplained phrase ("Mindbody calls: 1") that an agent must interpret. Nearly every sentence duplicates structured fields rather than adding information.

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?

For a simple, fully annotated, no-required-parameter read tool with complete schema coverage and no output schema, the essential facts (what it returns, that it is scoped to a site) are present. The missing gap is the relationship to get_sites, which is a routing rather than a calling-correctness issue.

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%, with limit, offset and siteId each documented in the schema, so the description carries no burden here. It adds no meaning about siteId scoping or page-size semantics beyond what the schema already states, which lands at the baseline.

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 states the verb and resource ("Get locations for a site") and names the underlying endpoint, which makes the basic operation identifiable. However, it never distinguishes this from the sibling get_sites, a closely related concept, and it restates the tool name twice instead of using that space to sharpen purpose.

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 or when-not-to-use guidance, and no alternative is named. Sibling get_sites exists and is not mentioned, so an agent has no rule for choosing between them.

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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