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isco-tec
by isco-tec

update_board_config

Update a board's scoring config AFTER creation (by gameId + boardId — from list_games / list_boards). PARTIAL: only the fields you pass change. Use it to cap scores for anti-cheat (maxScore), set a floor (minScore), or change retention.

Instructions

Update a board's scoring config AFTER creation (by gameId + boardId — from list_games / list_boards). PARTIAL: only the fields you pass change. Use it to cap scores for anti-cheat (maxScore), set a floor (minScore), or change retention. A bound can be cleared by passing null. Returns the full updated board.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gameIdYesUUID of the game (from list_games)
boardIdYesUUID of the board to update (from list_boards)
maxScoreNoUpper bound; scores above are rejected (the anti-cheat cap). Pass null to clear it.
minScoreNoLower bound; scores below are rejected. Pass null to clear it.
retentionNNoTop scores to retain when retentionPolicy="top_n" (1–1,000,000); null clears it
retentionPolicyNoHow long scores are kept: all, top_n (set retentionN), or rolling_30d

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.2

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations the description carries the full burden, and it delivers the key mutation semantics: only supplied fields change (PARTIAL), a bound can be cleared by passing null, and the call returns the full updated board. It omits permission/auth requirements, error behavior, and rate limits, which keeps it short of a 5 for an unannotated write tool.

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?

Front-loaded with the action and the partial-update contract, then use cases, then the return value — every sentence carries information. Sentence structure is dense and heavily parenthesized, which costs a little readability but not enough to be wasteful.

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?

For an unannotated mutation tool with no output schema, the description covers partial-update behavior, null-clearing, identifier provenance, and the return shape ('full updated board'). What remains absent is authorization/permission disclosure and failure behavior, which is the only real gap given 6 parameters and full schema coverage.

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 maxScore/minScore/retentionPolicy/retentionN are already fully documented by the schema, including 'Pass null to clear it'. The description's parameter content (maxScore as anti-cheat cap, minScore as floor, null-clears) largely restates the schema rather than adding new syntax or constraints, so baseline 3 is appropriate.

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+resource (update a board's scoring config) and pins the timing distinction 'AFTER creation', which separates it from create_board. It also names where the required identifiers come from (gameId from list_games, boardId from list_boards), so the agent can identify and call it without opening the schema.

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?

Gives concrete use cases (cap scores for anti-cheat via maxScore, set a floor via minScore, change retention) and notes the partial-update contract. It does not explicitly say when not to use it versus update_game_config, but the 'board scoring config AFTER creation' framing implies the boundary clearly enough.

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