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offsets__buy_offset

Retire verified carbon offset credits with cheapest-first matching and idempotent purchase. Returns a cost-detailed certificate and settles payment via escrow; use dry_run to preview fills without mutation.

Instructions

[offsets — verified-credit carbon offset clearinghouse] Retire mass_g of verified credits for a buyer: cheapest-first matching, exactly-once (idempotent on purchase_id), returns a content-addressed offset certificate with per-fill costs. Payment settles via escrow. dry_run=true previews the exact fills/cost without mutating the book.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
buyerYes
mass_gYes
dry_runNo
purchase_idYes
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 discloses key behavioral traits: cheapest-first matching, exactly-once idempotency on purchase_id, content-addressed certificate, per-fill costs, escrow settlement, and dry run preview without mutation. This is above average but could include more on error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the domain context, and includes all essential information without redundancy. Every sentence adds value.

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?

Given no output schema, the description covers the core action, matching, idempotency, return, payment, and dry run. Missing details on error conditions or prerequisites, but sufficient for a focused 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?

The schema has 0% description coverage, so the description must compensate. It adds meaning for mass_g, dry_run, and purchase_id, but does not clarify the 'buyer' parameter. This partial coverage is adequate but not thorough.

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?

The description clearly states the action ('Retire mass_g of verified credits'), the resource (verified credits), and key behaviors (cheapest-first matching, exactly-once, returns certificate). It distinguishes from sibling offsets tools by specifying the buy/retire operation.

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

Usage Guidelines3/5

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

The description implies usage for buying offsets but lacks explicit guidance on when to use this tool versus alternatives or when not to use it. No exclusions or prerequisites are mentioned, making it reliant on agent 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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