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review_game

Analyze a full PGN to classify moves with deterministic Gambit labels and per-player summaries, helping assess game quality without prose coaching.

Instructions

Analyze and classify a complete PGN with deterministic Gambit review labels and per-player summaries. No prose coaching is generated.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pgnYes
sideNoboth
multipvNo
initial_nodesNo
critical_nodesNo
critical_loss_cpNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
movesYes
engineYes
resultYes
headersYes
summariesYes
initial_fenYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries full burden; it does disclose determinism and the absence of prose output, which is genuinely useful. However, it says nothing about the tool being compute/engine-heavy (implied by multipv and node budgets) or about expected latency, so key behavioral traits remain hidden.

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?

Two tight sentences, front-loaded with the core action and with the no-prose caveat placed at the end. No wasted words, though it is arguably under-specified rather than optimally concise.

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?

An output schema exists, so return values need not be explained. But for a 6-parameter analysis tool with zero schema coverage and no annotations, the description leaves the entire configuration surface and any cost/latency expectation unexplained.

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

Parameters1/5

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

Schema description coverage is 0% across 6 parameters, and the description explains none of them. Opaque tuning knobs like multipv, initial_nodes, critical_nodes, and critical_loss_cp are left entirely undefined in both schema and description.

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?

States a specific verb+resource ('Analyze and classify a complete PGN') and characterizes the output as deterministic review labels with per-player summaries, which separates it from prose-generating lesson tools. It does not explicitly name a sibling, so it stops short of 5.

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 clause 'No prose coaching is generated' implicitly routes the agent away from coaching/tutor tools toward this one for structured review, but there is no explicit when-to-use statement or named alternative. Usage is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.