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Glama

Build Golf Trip

build_golf_trip
Read-onlyIdempotent

Build a transparent one- to four-course public-access golf trip around a city, ZIP code, destination, or coordinate. Matches real tee yardage and slope data, then balances fit and travel distance. Tee-time availability and drive times must be verified separately.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNo
latitudeNo
locationNo
longitudeNo
slope_maxNo
slope_minNo
tee_yards_maxNo
tee_yards_minNo
distance_milesNo25
number_of_coursesNo

TDQS

A3.6/5.0
Behavior4/5

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

The description adds process details beyond annotations, such as matching real tee yardage and slope data and balancing fit vs. travel distance. It also discloses a limitation (separate verification required), which is valuable behavioral context. No contradiction with read-only annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only two sentences long and communicates the core function efficiently. However, words like 'transparent' and 'fit' are vague and could be replaced with more concrete terms without adding length.

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 complex tool with 10 optional parameters and no output schema, the description gives a reasonable high-level understanding but omits return value details and parameter semantics. It adequately sets expectations for planning but leaves critical usage gaps.

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

Parameters2/5

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

Schema description coverage is 0%, and the description only vaguely mentions location types (city, ZIP, coordinate) and course count. It does not explain the 10 parameters, their constraints, or how to combine them, so the description fails to compensate for the missing schema documentation.

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?

The description clearly states the tool builds a one- to four-course public-access golf trip based on a location, with specific verb and resource. It distinguishes from sibling tools by focusing on trip construction rather than course discovery, though it doesn't explicitly name alternatives.

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?

It provides an explicit boundary: tee-time availability and drive times must be verified separately. This tells the user what the tool does not do, offering clear context for when to use it. It lacks named alternatives but the guidance is useful.

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

A3.9/5.0
Disambiguation3/5

find_nearby_courses and search_courses overlap significantly, both returning courses near a location with mileage, and search_stymie adds another ambiguous entry point. However, each tool has a distinct specialization (exact distance vs. general search, cross-collection discovery).

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (build_, find_, get_, search_), making the API predictable and easy to navigate.

Tool Count4/5

13 tools is a reasonable size for a golf data server covering courses, equipment, architects, trips, and reviews. The slight overlap between search tools could be consolidated, but the count is not excessive.

Completeness3/5

The domain is well-covered for read-only data (courses, scorecards, reviews, equipment, architects), but tee times are a placeholder and trip building relies on external verification. This leaves notable gaps in functionality that agents must work around.

Resources