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agent-offset-clearinghouse

list_credit

List a conservation credit on the book. verification_ref (a D-Score / land-verification attestation) is REQUIRED — unverified credits cannot enter the book. To trade on the Verra network, pass registry="verra" with the VCS provenance (vcs_project_id, serial_number, vintage, methodology) so retirements are cross-referenceable on registry.verra.org.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issuerYes
mass_gYes
vintageNo
registryNo
project_idYes
methodologyNo
serial_numberNo
vcs_project_idNo
verification_refYes
price_minor_per_kgYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries full burden. It discloses that verification_ref is required and unverified credits cannot be listed, and explains the effect of passing Verra parameters. However, it does not explicitly state that this tool creates a new credit entry or mention any side effects, permissions, or idempotency.

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 long, with no wasted words. The first sentence states the core purpose, and the second provides critical usage guidance. It is front-loaded and efficient.

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

Completeness3/5

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

Given the tool has 10 parameters and an output schema exists, the description is moderately complete. It covers the key behavioral aspects and provides guidance for the Verra scenario, but lacks explanations for required parameters like issuer and project_id, and does not differentiate from siblings like 'book'.

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 description adds meaning for verification_ref and Verra-related parameters (vcs_project_id, serial_number, vintage, methodology, registry) but does not explain other required fields like issuer, project_id, mass_g, or price_minor_per_kg. With 0% schema coverage, it partially compensates but leaves gaps.

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 verb 'List' and resource 'conservation credit on the book', distinguishing it from siblings like 'delist_credit'. It also specifies the critical requirement of verification_ref, making the purpose precise.

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?

The description explicitly states when verification_ref is required and provides specific guidance for trading on the Verra network, including which parameters to pass. However, it does not mention when not to use this tool or compare it to alternatives like 'book'.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct operation (e.g., book vs. list_credit vs. verra_supply; buy_offset vs. buy_offset_budget; certify_disbursement vs. verify_disbursement). No two tools have overlapping purposes, and descriptions clearly differentiate them.

Naming Consistency4/5

Most tools follow a verb_noun pattern (buy_offset, certify_disbursement, list_credits), but a few are noun phrases (book, disbursement_schedule, net_position, verra_supply). The naming is consistent in snake_case and readable, with only minor deviation from a pure verb-first style.

Tool Count5/5

19 tools cover the full domain of a carbon offset clearinghouse: credit listing, purchase, project registration, disbursement, settlement, verification, and Verra integration. Each tool serves a clear purpose without unnecessary redundancy.

Completeness4/5

The tool set provides full CRUD for core entities (e.g., list, buy, verify, delist credits; register and fund projects) plus advanced features (budget-based purchase, certification, settlement, Verra records). Minor gaps like a missing update for projects or credits are acceptable given the domain's constraints.