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Mangomint: List services

mangomint_list_services
Read-only

Mangomint: Service menu of a location with duration, price and the staff who perform each service. Returns the services you can book at a location, grouped by category, with duration, price and the staff members who perform each one. Use the service_id values in book_appointment. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
location_idNoLocation ID from list_locations. Default: your main location.

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 already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds useful behavioral context beyond that: results are grouped by category, include duration/price/staff, and require a Cotlet API key with access to the app.

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?

Front-loaded but mildly redundant: the 'duration, price and staff' content is stated in both the first and second sentences, and the second sentence largely restates the first with the added 'grouped by category' 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?

No output schema exists, but the description compensates by spelling out the returned fields and grouping, plus the auth requirement. For a one-parameter read tool this covers what an agent needs to call it correctly.

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?

There is a single optional parameter with 100% schema description coverage, so the schema already explains location_id and its default. The description adds no syntax or format detail beyond that, making 3 the correct baseline.

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 concrete verb and resource: it returns the bookable service menu of a location, including duration, price and staff. This clearly distinguishes it from siblings like list_locations or list_appointments without needing to open the schema.

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?

Explicitly tells the agent what to do with the output (use service_id values in book_appointment), which implies the tool's role in a booking workflow. It gives clear context but stops short of stating when-not to use it or naming an alternative listing path.

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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