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Includes the boundary caveat that lifecycle footprints are not like-for-like.","inputSchema":{"properties":{"water_ml":{"title":"Water Ml","type":"number"}},"required":["water_ml"],"title":"compare_water_useArguments","type":"object"},"name":"compare_water_use"},{"description":"Estimate the water (mL) and energy (Wh) used by chat-style AI prompts (ChatGPT, Claude, Gemini etc.).\n\nqueries_per_day: prompts per day. usage: 'simple' (text chat, ~0.34 Wh/prompt), 'mixed' (~1 Wh),\n'intensive' (image generation / deep reasoning, ~3 Wh). boundary: 'onsite' (data-centre cooling only,\nas vendors report) or 'comprehensive' (adds water used to generate the electricity – the wider boundary\nmost researchers use). days: number of days to total over (e.g. 250 workdays, 365).\nReturns per-prompt, per-day and total figures with everyday equivalents, assumptions and a source link.\nFor agentic/coding sessions use estimate_session_footprint instead.","inputSchema":{"properties":{"boundary":{"default":"comprehensive","enum":["onsite","comprehensive"],"title":"Boundary","type":"string"},"days":{"default":1,"title":"Days","type":"integer"},"queries_per_day":{"title":"Queries Per Day","type":"number"},"usage":{"default":"simple","enum":["simple","mixed","intensive"],"title":"Usage","type":"string"}},"required":["queries_per_day"],"title":"estimate_ai_footprintArguments","type":"object"},"name":"estimate_ai_footprint"},{"description":"Estimate the water and energy of an AI session (e.g. an agent or coding-assistant run) from its token\nusage. Pass the SUM across all model calls: input_tokens (uncached prompt tokens), output_tokens\n(including any reasoning/thinking tokens) and cached_input_tokens (prompt-cache reads). model_class:\n'small' (Haiku/mini/Flash-class), 'frontier' or 'reasoning'. Returns a central estimate and a 0.3x–3x\nrange – this is an order-of-magnitude estimate calibrated to published per-prompt figures, not a\nmeasurement.","inputSchema":{"properties":{"boundary":{"default":"comprehensive","enum":["onsite","comprehensive"],"title":"Boundary","type":"string"},"cached_input_tokens":{"default":0,"title":"Cached Input Tokens","type":"integer"},"input_tokens":{"title":"Input Tokens","type":"integer"},"model_class":{"default":"frontier","enum":["small","frontier","reasoning"],"title":"Model Class","type":"string"},"output_tokens":{"title":"Output Tokens","type":"integer"}},"required":["input_tokens","output_tokens"],"title":"estimate_session_footprintArguments","type":"object"},"name":"estimate_session_footprint"},{"description":"Return the per-prompt energy and water figures, accounting boundaries, sources, limitations, a\ncitation line, and the reasons published AI water estimates differ by ~100x (0.3 mL to 50 mL per prompt).\nUse it to explain or check a published AI water or energy figure.","inputSchema":{"properties":{},"title":"get_methodologyArguments","type":"object"},"name":"get_methodology"}]},"body_sha256":"8beb8a98706260be920f6192f54e2f0a589f1885d22db63b53b2a8992ba8c476","prev_id":null,"leaf":"0x7d199cd70dadcd50da2ce14b52cf8bfe022d64f81dca373a199b044eda859f3c","leaf_text":"{\"body\":\"8beb8a98706260be920f6192f54e2f0a589f1885d22db63b53b2a8992ba8c476\",\"id\":264637,\"kind\":\"mcp.tools\",\"method\":\"probe.mcp/1\",\"observed_us\":1793034321084597,\"prev\":null,\"subject\":\"4cc5be62-ca9f-4092-9943-246e72a7718e\",\"subject_kind\":\"endpoint\"}","day":{"day":"2026-10-26","leaves":296695,"root":"0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8","chained":"0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a","anchor_chain":"eip155:5042002","anchor_tx":"0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae","anchor_block":69251483},"proof":["0x7d19494d06c12255fb70112e742cf240dff48c98a852e8276754d85f25a67ac0","0xfb575d24951c369be91aabad1e2d1b994b55f46673dcef2d518fe89f46de8c8e","0x07a73cfd2220e2345b392f1745b008b102baf0309257933c3c2d729e53fbb0cd","0x19ecfda283dacba0a3c58ecba8fcf66597b6e2a4823fcb8ba07e408a890d491d","0x2fa527b1d4324360a578197e55364ee21d91130b9470fcd31610903a19b937c7","0x5297f1fcf43c983d59dc50fc7f782364125bf466968a8fb4ebddae9b27b3d28c","0xb7392e24404c3e722f0d32536c363562e0da4429dfe6ec0dc805b8261db68a0a","0xb6ad5ba14232f23ff30fb6b9fe383205836e99b8885d9cedab333b250ef72972","0x7e1ec73780098fac490af117915a41a976dff267e71b952d3a320caa7180a1e1","0x27bb9eefd00206cde7209859f541e1ae68cb3baba4968278bfa6a4028b0fe719","0x05b818019343d04f2973b36329a447f88301721891653961b94822610edda553","0x779c77295186b32da6387dfb36d3a76522e7d713472a7cebed7c93529ccc4be6","0x0bffb634300aa5609bddaa79e8d31d7cde36c0a5a4465472f809b9f5287e40d2","0x7721d38652b6444b18e1193824e50490ade04851ce6221771f6e374c4527d80f","0x15039087bf60ae9b06b756ec3cbc299760e59923a438bbd91e34d105186db0ed","0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76","0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9","0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f","0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a"]}