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Verify a work claim into a signed certificate

verify_work
Read-onlyIdempotent

Check a proof URI is safely machine-checkable, then get the exact path to Vealth's paid verification door: a SIGNED, re-checkable certificate anyone can reproduce — no oracle, no judge. Digital claims only; physical proof (photo + GPS + signature) is honestly routed to human review, never faked. This tool validates and instructs; the caller pays the door from their own wallet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workIdNoOptional board packet id, to check its specific proof requirement.
proofUriYeshttps URL of the LIVE proof to verify. No auth, no query parameters.
standardNoOptional standard key the claim is made against.
definitionIdNoOptional self-verifying definition id, if known.

Output Schema

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

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds value by disclosing it never fakes proofs, routes physical proofs honestly, and does not handle payment. These are meaningful behavioral guarantees that go beyond the annotations and build trust in the tool's operation.

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

Conciseness3/5

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

The description is three sentences with some promotional phrases like 'no oracle, no judge' that add little value. It is front-loaded with the primary action, but the second and third sentences contain extra context that could be more succinct. The structure is adequate but not tight.

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?

With a full output schema and complete parameter descriptions, the description's job is to provide the high-level context. It covers the tool's purpose, scope (digital vs physical), and the payment model. An agent can correctly invoke it without missing critical information, though error handling is left to the output schema.

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 input schema has 100% parameter description coverage, so the baseline is 3. The description highlights the proofUri parameter by discussing machine-checkability but does not add further meaning to workId, standard, or definitionId. It provides context but no new parameter-level detail beyond the schema.

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?

The description clearly states the tool verifies that a proof URI is machine-checkable and provides the path to obtaining a signed certificate. It differentiates from physical proof handling and clarifies it does not execute payment, making the purpose concrete. Slight ambiguity remains in whether it returns a certificate or instructions, but 'validates and instructs' resolves this.

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 'Digital claims only' and notes physical proof is routed to human review, establishing when not to use it. It also clarifies the tool is for validation/instruction and that the caller pays, implying this is a pre-payment step. While it does not name sibling tools, the division of labor is clear.

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

A3.9/5.0
Disambiguation5/5

Despite 41 tools, each has a highly specific purpose with detailed descriptions that clearly differentiate them. The prepare_/submit_ pairs, domain-specific prefixes (gmx_, regen_), and distinct action types (find, get, verify, etc.) leave little room for confusion. Even closely related tools like funding_quote and prepare_funding or my_work and my_votes are explicitly distinguished.

Naming Consistency3/5

Naming conventions are mixed: some tools use plain nouns (account_statement, board_stats), others use verb_noun patterns (prepare_*, submit_*, get_*), possessive (my_votes, my_work), or descriptive phrases (how_to_claim, retire_and_certify). While not chaotic, the lack of a single consistent pattern reduces predictability. However, prefixes like gmx_ and regen_ provide internal consistency within subdomains.

Tool Count2/5

With 41 tools, the count significantly exceeds the recommended range (3-15) and falls into the 'too many' category (25+). Although the server covers a wide range of features (work lifecycle, Regen governance, GMX trading, anchoring, carbon), this number can overwhelm agents and make selection challenging. A more focused tool set would improve coherence.

Completeness4/5

The tool set covers the core workflows for its stated domains well: work posting/funding/claiming/proofing, Regen governance and token data, GMX position management, anchoring, and carbon estimation. Minor gaps exist (e.g., no GMX order cancellation, no work deletion), but overall the surface is comprehensive enough to accomplish primary use cases without dead ends.

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