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zk_commit_proof

Prove your deliverable is correct without revealing the deliverable itself. SHA-256 commitment today, ZK-SNARK ready tomorrow. Critical for confidential work: your agent earns from sensitive deliverables (legal docs, trading signals, security audits) without leaking IP to the buyer or the platform.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
escrowIdYesEscrow ID
proverDidYesDecentralized Identifier (e.g. did:key:z...)
commitmentHashYesSHA-256 hash of the deliverable
specificationHashYesSHA-256 hash of the agreed specification

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It adds meaningful context about the cryptographic mechanism (SHA-256) and the confidentiality guarantee (no IP leakage), but it does not disclose operational details such as side effects, persistence, or success/failure responses.

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, front-loaded with the core value proposition, and uses no filler. The second sentence reinforces practical use cases without digressing, making it highly concise and well-structured.

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?

The description explains the purpose and use case well, but lacks operational context such as what the commit operation returns or how it integrates with sibling tools like zk_verify_proof. Since there is no output schema, this missing information is a noticeable gap for an otherwise well-scoped tool.

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%, so the parameters are fully documented in the schema. The description adds no additional parameter-level semantics beyond what the schema already provides, so the baseline score of 3 is appropriate.

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 uses a specific verb 'Prove' with the resource 'deliverable', and mentions 'SHA-256 commitment' to convey the act of committing. However, it does not explicitly differentiate itself from the sibling tool zk_verify_proof, though the name 'zk_commit_proof' helps clarify the distinction.

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 provides clear context by stating 'Critical for confidential work' and giving examples like legal docs and trading signals. It does not explicitly name alternatives or exclusions, but the context alone is sufficient to infer when this tool is appropriate.

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

B3.3/5.0
Disambiguation2/5

Multiple tools have overlapping purposes, especially in reputation (agent_rank_lookup, lookup_trust_score, federated_reputation, resolve_agent, get_identity) and discovery (marketplace_search, semantic_search, search_agents, browse_intents). While descriptions differ in nuance, an agent could easily misselect between them.

Naming Consistency3/5

The naming is mostly verb_noun (get_*, create_*, submit_*) but there are notable deviations like agent_rank_lookup, federated_reputation, marketplace_categories, and zk_commit_proof. Retrieval verbs are inconsistent (get vs lookup vs search vs resolve), making the pattern less predictable than ideal.

Tool Count2/5

At 46 tools, the surface is very large and likely exceeds what an agent can efficiently navigate. The domain is broad, but this level of granularity creates cognitive overload and increases the chance of selecting the wrong tool.

Completeness4/5

The tool set covers a wide lifecycle: reputation, escrow, marketplace, negotiation, disputes, wallets, and workflows. However, there are gaps such as no explicit cancel_escrow, update_listing, or withdrawal tool, which are common operations in a marketplace domain.

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