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Verify a Research Object Certificate

verify_certificate

Cryptographically verify a bloxberg Research Object Certificate against the blockchain—checking format, Merkle proof, on-chain root, issuer identity, and status. Requires the full certificate document.

Instructions

Cryptographically verify a bloxberg Research Object Certificate against the blockchain using the bloxberg cert-verifier engine (@bloxberg-org/cert-verifier-js-bloxberg): format validation, MerkleProof2019 replay, on-chain Merkle root comparison, issuer identity, and status checks. Returns the final verdict plus every verification step. Note: a bare file hash cannot be verified — bloxberg anchors only Merkle batch roots on-chain, so the full credential document is required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoAlternatively, a URL to fetch the certificate JSON from
certificateNoThe Research Object Certificate as a JSON string (a Blockcerts V2/V3 / W3C Verifiable Credential document)
Behavior5/5

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

No annotations are provided, so the description carries the burden, and it does so thoroughly: it enumerates the full verification pathway, states the output is a final verdict plus intermediate steps, and discloses a practical limitation about bare hashesthesheshesheshesheshesheshesheshesheshes, so an agent has a realistic model of behavior.

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?

Two purposeful sentences: the first front-loads the tool's exact behavior and result, the second adds the most important constraint. The mention of the library name and Blockcerts/W3C context is somewhat detailed but relevant, and there is no fill 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 certificiate verifier with no output schema, the description tells the agent what the output will include, the chain and formats accepted, and the key prerequisite/limitation. Input semantics are already fallly covered by the schema, so nothing essential for correct invocation is missing.

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 meaningful value by explaining that the certificate parameter must carry the full credential document, not merely a hash, and that the alternative `url` serves as a way to fetch that certificate JSON. This goes beyond the raw 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 states an exact verb and resource: 'Cryptographically verify a bloxberg Research Object Certificate against the blockchain.' It also explains what verification entails and what is returned, so the tool is clearly differentiated from siblings like `inspect_certificate` or generic chain-reading 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 clear operational guidance by explicitly ruling out bare file hashes and requiring the full credential document, which tells when the tool can be validly used. It does not name sibling alternatives, but the boundary is clear enough for selection.

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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