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analyze_bag

Performs a complete BagIQ analysis on a player's disc golf bag. Can accept a list of discs OR a BagIQ share link (e.g. 'https://app.bagiq.app/?s=4fisr8a7'). Returns slot coverage percentage, bag identity label (e.g. 'Overstable-heavy', 'Chaos bag'), top missing shot gaps, redundant overlaps, and mapped flight coordinates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
discsNoList of discs currently in the bag (optional if share_url or share_id is provided)
share_idNoOptional BagIQ short share ID (e.g. '4fisr8a7')
share_urlNoOptional BagIQ share link (e.g. 'https://app.bagiq.app/?s=4fisr8a7' or 'https://app.bagiq.app/?discs=...')
preferred_brandNoOptional preferred brand for recommendations (e.g. 'Innova', 'Discraft')

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • changedInput schema / properties / discs / description
      Previous value: -"List of discs currently in the bag (1 to 35 discs)"New value: +"List of discs currently in the bag (optional if share_url or share_id is provided)"
    • addedInput schema / properties / share_id
      Added value: +{
      +  "description": "Optional BagIQ short share ID (e.g. '4fisr8a7')",
      +  "type": "string"
      +}
    • addedInput schema / properties / share_url
      Added value: +{
      +  "description": "Optional BagIQ share link (e.g. 'https://app.bagiq.app/?s=4fisr8a7' or 'https://app.bagiq.app/?discs=...')",
      +  "type": "string"
      +}
    • removedInput schema / required
      Removed value: -[
      -  "discs"
      -]
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and clearly frames the operation as non-mutating analysis while listing what it returns. It does not mention authentication, rate limits, or whether shared-bag data is fetched or stored, but 'analyze' plus return-value language makes the read-only intent reasonably clear.

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?

Two dense, purposeful sentences with no filler. The core purpose and input modes are front-loaded, and the output list with examples earns its place.

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?

Despite no output schema, the description enumerates the main return categories (slot coverage, identity label, gaps, overlaps, flight coordinates) and both input modes. The only notable gap is not explaining how preferred_brand factors into the analysis, though the schema partially covers that parameter.

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?

Schema description coverage is 100%, so the baseline applies; the schema already documents discs, share_id, share_url, and preferred_brand. The description adds a useful high-level 'OR' between disc list and share link, but it omits preferred_brand and does not materially extend the schema's parameter explanations.

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 specific verb and resource ('Performs a complete BagIQ analysis on a player's disc golf bag') and enumerates concrete outputs (slot coverage, bag identity label, gaps, overlaps, flight coordinates). The word 'complete' plus the output list clearly differentiates it from focused siblings like find_bag_gaps and detect_overlap.

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 this is the comprehensive analysis tool by using 'complete' and listing gap/overlap outputs, but it never explicitly says when to prefer analyze_bag over the focused siblings (find_bag_gaps, detect_overlap, recommend_bag_fillers). Input-mode guidance is present ('list of discs OR a BagIQ share link'), but alternative routing is left to inference.

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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