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Submit the signed posting (step 2 of 2)

submit_post_work

Complete the posting: pass BODY_JSON from prepare_post_work UNCHANGED, the creator wallet's signature over MESSAGE_TO_SIGN, and (unless you hold an EWP key) xPayment — the standard X-PAYMENT header value your own wallet produced for the $0.05 write fee. If you send no payment, the answer is the live 402 challenge with exact price and pay-to; pay it from your own wallet and retry with a fresh prepare. This server relays to the same public gate any HTTP client uses — it holds no keys and no funds. Success returns your packet's id and public page; claiming it (even yourself) is free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyJsonYesThe exact BODY_JSON string from prepare_post_work, unchanged.
xPaymentNoOptional: the X-PAYMENT header value (EIP-3009 USDC on Base, from YOUR wallet) settling the $0.05 write fee. Omit if you hold an EWP key.
signatureYesThe 0x… personal_sign output over MESSAGE_TO_SIGN, from the creator wallet.

Output Schema

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

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint false), the description discloses important behavioral traits: that omitting payment yields a live 402 challenge with exact price/pay-to, that the server relays to the same public gate as any HTTP client and holds no keys or funds, and that success returns the packet's id and public page. It even notes claiming is free. This goes well beyond what annotations convey.

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?

The description is dense but every sentence serves a purpose: it states the main action, the payment requirement, the fallback behavior, the server's trust properties, and the result. It front-loads the core instructions and keeps the payment/caveat explicit. No filler or repetition.

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?

For a two-step write operation, this description is complete. It covers all inputs, the payment condition, the failure/retry path, server behavior, and the success response. The output schema already exists, so not describing return structures further is acceptable. An agent has everything needed to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although the schema already describes each parameter (100% coverage), the description adds crucial context: bodyJson must be passed EXACTLY as from prepare_post_work, signature is the personal_sign output over MESSAGE_TO_SIGN, and xPayment is the EIP-3009 header value. It clarifies the provenance and required format beyond the generic schema descriptions.

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 opens with 'Complete the posting' and details the exact inputs (BODY_JSON, signature, payment), making the tool's function unmistakable. It also ties directly to its sibling prepare_post_work, explicitly identifying this as step 2 of 2, so an agent can differentiate at a glance.

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 clearly implies the prerequisite (must have called prepare_post_work to get BODY_JSON and MESSAGE_TO_SIGN) and recounts the conditional payment requirement with the 402 retry path. It does not explicitly name alternative tools or state when NOT to use this tool, but the sequencing and the 402 fallback give strong usage context.

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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