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Submit the signed claim (step 2 of 2)

submit_claim

Complete the claim: pass the BODY_JSON string from prepare_claim UNCHANGED plus the signature your wallet produced over MESSAGE_TO_SIGN. This server relays the signed request to the same public claim gate any HTTP client uses — it holds no keys and no funds, and without your signature it can do nothing. Success returns your claimId; keep it, proof submission needs it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyJsonYesThe exact BODY_JSON string from prepare_claim, unchanged.
signatureYesThe 0x… personal_sign output over MESSAGE_TO_SIGN.

Output Schema

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

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, so the agent knows this is a mutating, non-idempotent operation. The description adds valuable behavioral context: the server relays the signed request to a public claim gate, holds no keys or funds, and requires the signature to act. This goes beyond annotations and clarifies the security model and statelessness. It doesn't contradict any annotation.

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?

Two sentences with zero fluff. The critical instruction (pass BODY_JSON unchanged plus signature) is front-loaded immediately, followed by concise context about the server's role and what to do with the return value. Every sentence serves a purpose.

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 an output schema exists (so return values are covered), the description provides all needed usage context: the prerequisite (prepare_claim output), the signature requirement, the security model, and the instruction to keep claimId for proof submission. It's comprehensive for a two-parameter submit action, though it could optionally mention any error conditions, but that's beyond the typical burden.

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?

Schema coverage is 100%, so the baseline is 3. The description adds key semantic value by stressing 'UNCHANGED' for bodyJson and specifying the signature as the 0x… personal_sign output over MESSAGE_TO_SIGN. This explains the relationship between the parameters and the prepare_claim step, which is not in the schema. It reinforces exact usage and the provenance of the signature.

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 states a specific verb ('Complete the claim') and identifies the exact resource and action, distinguishing it clearly as the submission step following prepare_claim. It explicitly names the two required inputs and the context of being step 2 of 2. This makes it unmistakably different from sibling tools like prepare_claim or other submit_* tools.

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 gives explicit preconditions: pass the BODY_JSON string from prepare_claim unchanged and the signature from the wallet. It also implies the timing (after prepare_claim) and explains that without the signature nothing happens. It doesn't explicitly say 'use after prepare_claim, not before', but the sequencing is evident and the critical requirement of passing the unchanged body is highlighted.

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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