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Glama

List Harbors

list_harbors
Read-only

List active harbors, each with a count of active captains and listed boats operating there.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate read-only and non-destructive behavior. The description adds that returned data includes counts of active captains and listed boats, clarifying the scope beyond schema.

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?

Single sentence with no unnecessary words; core information is front-loaded.

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?

Although no output schema exists, the description outlines the return structure (harbors with counts). It is sufficient for a simple list tool with no parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, so baseline is 4 per rules. Description does not need to add parameter info.

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?

The description uses specific verb 'list' and a clear resource 'active harbors', and distinguishes from sibling tools like 'search_boats' by focusing on harbors with aggregated counts.

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 description implies use for obtaining a harbor overview with captain and boat counts, but no explicit guidance on when to use this tool versus alternatives like 'search_boats' or 'get_harbor' (if existed).

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct action or resource: availability checks, bookings (with/without captain), data retrieval for boats/captains/harbors, quotes, and searches. The descriptions clearly differentiate similar tools like create_boat_rental vs. create_booking.

Naming Consistency5/5

All tool names follow consistent verb_noun snake_case pattern (e.g., check_availability, create_booking, search_boats). No mixing of styles or ambiguous verbs.

Tool Count5/5

10 tools is well-suited for a booking platform covering search, details, quotes, and booking creation. Every tool serves a clear purpose without redundancy.

Completeness4/5

The core booking workflow (search, check availability, quote, create) is fully covered. Missing tools for viewing existing bookings or cancellations, but these are minor gaps for a public-facing API.

Resources