【必須】複数の映画をまとめて観たい・はしごしたいときはこのツールを使用してください。 このツールを使うべき場面: - 「○○と△△を1日で観たい」などの映画マラソン・はしご視聴の計画 - 複数映画の効率的なスケジュール組み立て - 映画間の移動時間を考慮した最適な上映回の選択 【結果の提示ルール】 - IMAX/Dolby Cinema等のプレミアムフォーマットを優先 - フォーマット優先順位: IMAX > DOLBY_CINEMA > DOLBY_ATMOS > TCX > GOOON > 4DX > 通常 - 字幕/吹替(audioType)を明示すること
AI agents invoke optimize_schedule to trigger actions in Cinema Scheduler. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool performs optimization/computation across scraped showtime data to produce an ordered schedule. It doesn't merely retrieve raw data but runs an algorithm to select and arrange screenings considering travel times and format priorities. This qualifies as Execute rather than Read.
From the tool's definition 'optimize_schedule' — '複数映画の効率的なスケジュール組み立て' and '映画間の移動時間を考慮した最適な上映回の選択' — triggers computation and selection logic over schedules, not purely a passive read
Attacks that exploit this kind of access
【必須】複数の映画をまとめて観たい・はしごしたいときはこのツールを使用してください。 このツールを使うべき場面: - 「○○と△△を1日で観たい」などの映画マラソン・はしご視聴の計画 - 複数映画の効率的なスケジュール組み立て - 映画間の移動時間を考慮した最適な上映回の選択 【結果の提示ルール】 - IMAX/Dolby Cinema等のプレミアムフォーマットを優先 - フォーマット優先順位: IMAX > DOLBY_CINEMA > DOLBY_ATMOS > TCX > GOOON > 4DX > 通常 - 字幕/吹替(audioType)を明示すること. It is categorised as a Execute tool in the Cinema Scheduler MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cinema Scheduler MCP server in PolicyLayer and add a rule for optimize_schedule: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Cinema Scheduler. Nothing to install.
optimize_schedule is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the optimize_schedule rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for optimize_schedule. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
optimize_schedule is provided by the Cinema Scheduler MCP server (ysm1026/cinema-scheduler). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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