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Glama

get_studio_details

Retrieve full details for one Wellpass fitness studio using its slug from studio search results.

Instructions

Get full details for one studio by its slug (from search_studios).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Get' implies a read operation, but it says nothing about permissions, rate limits, or what 'full details' actually contains. For a tool with zero annotation coverage, this is a significant gap.

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?

A single, front-loaded sentence with the resource, the identifier, and its provenance — no filler. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple single-parameter read lookup with no output schema and no annotations, the description is minimally adequate: it says how to obtain the slug. It does not describe the returned detail set, which the absent output schema leaves uncovered.

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 0% and there is one required parameter, so the description must compensate. It does add meaning by indicating the slug comes from search_studios, which the bare 'Slug' string type does not convey, but it gives no format or validation detail.

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

Purpose4/5

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

States a specific verb+resource ('Get full details for one studio') scoped to a single entity identified by slug. It implicitly contrasts with the sibling search_studios (which returns many), though it does not explicitly name list_studio_filters or other siblings as alternatives.

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 parenthetical '(from search_studios)' hints at where the required slug originates, which is genuine usage context. However, there is no explicit when-to-use versus search_studios or list_studio_filters, so the guidance is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.