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Analyze a Pokemon Showdown replay

vgc_replay_analyze

Parse and persist a Champions VGC doubles replay, then receive turn-cited coaching evidence matched to your exact team.

Instructions

Parse and persist a Champions VGC doubles replay, then return turn-cited coaching evidence using the supplied exact user team.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profile_idNo
player_nameNo
replay_pathNo
team_exportYes
replay_contentNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior3/5

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

The description discloses meaningful behavior beyond the annotations: it parses and persists the replay, and returns turn-cited coaching evidence. However, it does not clarify what persistence means, whether existing data is overwritten, or what prerequisites exist, and the annotations only cover destructiveHint, so coverage is limited.

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?

One focused sentence with no filler. The action verbs are front-loaded, and the sentence earns its place by conveying the core parse-persist-return flow efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema, the description leaves significant gaps: five parameters are essentially undocumented, no sibling-routing guidance exists, and the persistence side effect is vague. This is too thin for a tool with zero schema parameter descriptions and many near-neighbor siblings.

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%, so the description must compensate. It only maps 'exact user team' to team_export and 'replay' generically to a replay source; profile_id, player_name, replay_path, and replay_content are left entirely unexplained.

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 uses specific verbs — 'Parse and persist' and 'return turn-cited coaching evidence' — tied to a clear resource: a Champions VGC doubles replay with the user's exact team. It implies a distinguishably analytical purpose versus siblings like vgc_replay_get or vgc_replay_turn, though it does not explicitly name an alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use or when-not-to-use guidance is provided. The phrase 'using the supplied exact user team' hints that this tool requires a team export for coaching analysis, but it does not contrast with siblings such as vgc_team_evaluate, vgc_replay_trends, or vgc_matchup_detail, leaving selection 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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