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Submit the signed publish (step 2 of 2)

submit_evidence_write

Complete the publish: pass the BODY_JSON from prepare_evidence_write UNCHANGED and the signature over MESSAGE_TO_SIGN. Free when signed. On success the files are live at your targetUrl and the next step is prepare_proof — the verifier probes them passively like any public machine surface.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyJsonYesThe exact BODY_JSON string from prepare_evidence_write, 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

A4.3/5.0
Behavior4/5

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

The description goes beyond the annotations by disclosing that successful submission makes files live at the target URL and that the verifier probes them passively. It also notes the operation is free when signed. This adds real postcondition context without contradicting readOnlyHint=false or openWorldHint=true.

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 compact and well-structured: action, required input handling, cost condition, and success outcome in three sentences. No filler or redundant restating beyond the necessary emphasis on passing the body unchanged.

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?

Given only two fully documented parameters, an output schema, and clear annotations, the description covers the prerequisite, the exact inputs, the postcondition, and the next workflow step. An agent has enough context to invoke this tool at the right time.

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?

Schema description coverage is 100%, and the schema already documents bodyJson as the exact unchanged BODY_JSON string and signature as the personal_sign output over MESSAGE_TO_SIGN. The description repeats this guidance rather than adding new parameter-level meaning, so it stays at the baseline.

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?

Description uses a specific verb ('Complete the publish'), identifies the exact inputs (BODY_JSON from prepare_evidence_write and signature), and states the success outcome. The title 'step 2 of 2' and reference to prepare_evidence_write clearly distinguish it from the preparation step and from later steps like prepare_proof.

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 workflow is explicit: take the output of prepare_evidence_write, submit with a signature, then continue to prepare_proof. This gives clear temporal context. However, it does not mention alternatives or when not to use it, such as distinguishing from submit_evidence_surface.

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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