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Turn this AI session into real provisioned ecological work

estimate_footprint
Read-onlyIdempotent

The anchor tool. Give a rough token or call count for your AI session and get an order-of-magnitude CO2e estimate PLUS the real, verifiable ecological work you can provision to answer it on Vealth. Vealth does NOT sell paper offsets — it provisions maintenance of the commons: you fund a bounded work packet keyless from your own wallet; when the retirement lane is running an approved proof queues a carbon retirement with an on-chain retirement certificate (that lane is paused by operator order since 2026-08-04). Call find_work next to pick the work. The estimate is orientation only, never a precise carbon claim, and this server never takes payment or holds a wallet. Cost and signer: free and keyless, nothing to sign.

Input Schema

NameRequiredDescriptionDefault
callsNoOr approx number of model calls, if you have no token count.
tokensNoApprox total tokens this session (input + output).

Output Schema

NameRequiredDescriptionDefault
okNo
toolNo
fundedNo
payUsdNo
workIdNo
claimIdNo
claimableNo
next_callNo
proofRuleNo
fulfillableByNo
definitionOfDoneNo
needs_from_callerNo
notClaimableReasonNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedOutput schema / properties / claimable
      Added value: +{
      +  "type": "boolean"
      +}
    • addedOutput schema / properties / notClaimableReason
      Added value: +{
      +  "type": "string"
      +}
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "properties": {
      +    "claimId": {
      +      "type": "string"
      +    },
      +    "definitionOfDone": {
      +      "type": [
      +        "object",
      +        "array",
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "fulfillableBy": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "funded": {
      +      "type": "boolean"
      +    },
      +    "needs_from_caller": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "next_call": {
      +      "type": "object"
      +    },
      +    "ok": {
      +      "type": "boolean"
      +    },
      +    "payUsd": {
      +      "type": "number"
      +    },
      +    "proofRule": {
      +      "type": "string"
      +    },
      +    "tool": {
      +      "type": "string"
      +    },
      +    "workId": {
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  3. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered structurally. The description adds genuinely useful context beyond that: no payment taken, no wallet held, keyless and free, and the retirement lane is paused by operator order since 2026-08-04. That pause disclosure is valuable, but the wallet/funding narrative describes the broader provisioning flow rather than this estimate tool, making it partially off-target.

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?

Purpose is front-loaded in the first sentence and every subsequent sentence carries either a caveat, a safety fact, or a next step. The parenthetical about the paused lane and the 'anchor tool' opener cost some density, but there is no filler padding to trim substantially.

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?

With an output schema present, return values need not be explained; the description instead covers cost, signer requirements, safety posture, estimate reliability caveats, and the next tool to call. That is everything an agent needs to call this correctly for a two-parameter, zero-required tool.

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 both parameters (tokens, calls) are already documented including the fallback relationship between them. The description only reinforces that counts may be 'rough', adding little beyond the schema baseline of 3.

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 concrete verb-plus-resource: supply a rough token or call count and receive an order-of-magnitude CO2e estimate plus provisionable ecological work. It differentiates itself from siblings by declaring itself the anchor tool and naming find_work as the follow-on, though the marketing framing ('The anchor tool', 'answer it on Vealth') adds noise rather than precision.

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 explicit sequencing ('Call find_work next to pick the work') and sets expectations that the output is orientation only, not a precise carbon claim. It does not enumerate when to prefer this over alternatives such as provision_plan or retire_and_certify, but the next-step routing is explicit and unambiguous.

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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