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Read the Playgama game checklist

get_game_checklist
Read-onlyIdempotent

What a game and its build archive must meet to go up on Playgama — the required Playgama Bridge steps in order, the build requirements, and tips — read live from the Playgama wiki. Read it before integrating the Bridge SDK and before every start_archive_upload: check the game and the archive against each item and fix what fails before uploading, and tell the developer which items you could not check yourself. Without page: { title, url, markdown, pages } — the checklist and the pages nested under it, { page, title, required, description? } each. With page (an id from pages): that page’s title, url and markdown. A Bridge SDK link inside goes to get_bridge_sdk_docs as its page, as written.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoId of a nested page from `pages` in the answer without `page`. A link copied from the wiki works as-is (with or without `.md`, with or without an anchor — the anchor is ignored). Omit to get the checklist itself.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already cover read-only, idempotent, non-open-world status, but the description goes further: it discloses that content is read live from the wiki and precisely describes the return payload shape for both the no-`page` and `page` cases (`{ title, url, markdown, pages }` vs a single page's title/url/markdown). This is rich context with no contradiction.

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?

The description is dense and slightly run-on, but front-loaded with purpose then workflow then return shape, and every sentence contributes useful information. Minor trimming of redundant phrasing would improve it.

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

Completeness5/5

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

For a single-parameter read tool with no output schema, the description is complete: it explains what the checklist is, when to consult it, what to do with the results, and the exact shape of both return variants. Nothing an agent needs to call it correctly is missing.

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

Parameters4/5

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

Schema coverage is 100%, so the `page` parameter's id semantics and link-copying tolerance are already documented in the schema, setting a baseline of 3. The description adds value by explaining the output effect of omitting vs supplying `page` and how nested page ids relate to the checklist, pushing it above baseline.

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 — reading the Playgama game checklist — and spells out exactly what the resource contains (Bridge steps, build requirements, tips). It is clearly distinguishable from siblings like get_bridge_sdk_docs, which it explicitly routes to for SDK links.

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

Usage Guidelines5/5

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

Gives explicit timing: read before integrating the Bridge SDK and before every start_archive_upload. It also prescribes the follow-up action (check each item, fix failures, report items it could not verify), leaving nothing 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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