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Glama

detect_overlap

Detects redundant molds occupying the same flight slot or shot role, ranking pairs by overlap severity and recommending which disc to keep vs cut.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
discsYesList of discs in the bag (minimum 2 discs)

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that it ranks pairs and recommends keep/cut decisions, which implies read-only behavior, but it does not explicitly state whether it modifies data, requires specific permissions, or any side effects. The behavioral disclosure is adequate but not exhaustive.

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, well-structured sentence that front-loads the core purpose and adds the ranking/recommendation behavior. Every word earns its place with no fluff.

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?

Given the rich schema and one parameter, the description is fairly complete. It explains the tool's function and outcome (ranking and recommendation), though it does not specify the exact output format. Since there is no output schema, this could be considered a minor gap, but the description still covers the essential context.

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 schema covers the single 'discs' parameter with a detailed description of its items and properties (100% coverage). The description adds no parameter-specific meaning beyond implying that the discs are the input, so it does not need to compensate. Baseline 3 applies.

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 states a specific verb ('detects') and resource ('redundant molds'), and clearly defines the scope: flight slot or shot role. It also mentions ranking and recommendations, which distinguishes it from siblings like find_bag_gaps or analyze_bag.

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?

The description implies when to use it (when you want to detect redundant molds and get keep/cut recommendations) but does not explicitly state when not to use it or name alternative tools. The context is clear, but exclusions are absent.

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

A3.7/5.0
Disambiguation4/5

Each tool has a distinct primary purpose, but analyze_bag returns both gap and overlap findings, which overlaps with find_bag_gaps and detect_overlap. This could create ambiguity when choosing between broad analysis and targeted diagnostics.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern: analyze, build, detect, find, recommend. The style is uniform and predictable.

Tool Count5/5

Five tools is well-scoped for a specialized disc golf bag analysis server. Each tool covers a meaningful facet of the workflow without unnecessary bloat.

Completeness5/5

The tool set covers the full analysis lifecycle: overall assessment, gap detection, overlap detection, fill recommendations, and minimal bag construction. No critical workflow dead ends are apparent for the stated domain.

Resources