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Search Tee Times

search_tee_times
Read-onlyIdempotent

Search for available tee times at a golf course. Note: Real-time tee time data is coming soon. Currently returns a link to the course page on Stymie where users can set up tee time alerts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDesired date (YYYY-MM-DD)
slugYesCourse full_slug
playersNoNumber of players

TDQS

A4/5.0
Behavior5/5

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

The description goes beyond the annotations by explaining the current limitation (no real-time data) and the actual behavior (returns a link for alerts). This is transparent and helpful for setting expectations, with no contradiction to annotations.

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?

The description is two sentences, front-loaded with the core purpose, and each sentence adds essential information. No wasted words.

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?

The description explains the return behavior (a link for alerts) and the current state, which is adequate given the lack of an output schema. However, it doesn't clarify how date and players parameters affect the returned link, leaving some ambiguity about their role in the current implementation.

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?

The input schema provides descriptions for all three parameters (slug, date, players), so the schema covers semantics. The tool description itself adds no additional parameter context, so the baseline of 3 is appropriate.

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 searches for available tee times at a golf course, with a specific verb and resource. However, the caveat that real-time data is coming soon and it currently returns a link for alerts makes the immediate purpose less straightforward, though still clear.

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 provides context that this tool is not yet fully functional for real-time tee times and currently guides users to set up alerts. It doesn't explicitly mention alternatives like search_courses, nor when-not-to-use, so guidance is implied rather than explicit.

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