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Verify attestation

verify_attestation
Read-only

Ask Kamy whether a SHA-256 digest has an attestation on record — the tool that actually returns a verdict. Takes a digest, not a file: if what you hold is a PDF, run verify_pdf_signature over the bytes first and pass the sha256 it gives you. A match returns { verified: true, artifact_type, recorded_at, signature, public_key }. A false result means no attestation exists for those exact bytes, which happens both when content was altered after attestation and when it was simply never attested; it does not by itself identify tampering or a culprit. Public surface — like the extract_document verify URL, no API key is required, so a recipient can confirm an artifact independently of whoever sent it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hashYesSHA-256 of the artifact you want to check, as hex. Hash the bytes you actually hold — if they were modified after attestation, the digest won't match any record and `verified` comes back false.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, establishing it as a safe read operation. The description adds valuable context: explains the return value structure for matches and the nuanced meaning of a false result (no attestation vs. tampering), and discloses that no API key is required. This exceeds what annotations provide, though it doesn't mention potential rate limits or error handling.

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 a single paragraph of about 6 sentences. It is front-loaded with the core purpose and usage hint. While every sentence is informative, some minor redundancy ('the tool that actually returns a verdict') could be trimmed. Still, it is efficient and well-structured.

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 the tool's simplicity (1 parameter, no output schema, read-only annotations), the description covers the essential aspects: input type, return value for matches and misses, authentication requirements, and usage guidance. It does not detail error responses or rate limits, but for a query tool, this is reasonably complete.

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?

The schema already documents the hash parameter with 100% coverage (pattern, type, description). The description adds further meaning: 'Hash the bytes you actually hold — if they were modified after attestation, the digest won't match any record and `verified` comes back false.' This clarifies the consequence of incorrect input, adding value beyond the schema's description.

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 clearly states the tool's purpose: 'Ask Kamy whether a SHA-256 digest has an attestation on record — the tool that actually returns a verdict.' It uses a specific verb (verify) and resource (attestation by digest) and distinguishes itself from the sibling tool verify_pdf_signature by explicitly noting the difference in input type.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance on when to use this tool: 'Takes a digest, not a file: if what you hold is a PDF, run verify_pdf_signature over the bytes first and pass the sha256 it gives you.' This clearly states the input requirement and points to an alternative tool for PDFs, helping the agent decide when to invoke this tool versus verify_pdf_signature.

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

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose with detailed descriptions that differentiate similar tools (e.g., render_pdf vs render_async vs render_batch, create_signature_request vs create_envelope). No two tools overlap in a way that would cause confusion.

Naming Consistency5/5

All tool names follow a consistent lower_snake_case verb_noun pattern (e.g., attest_artifact, convert_document, list_renders). No mixing of conventions or ambiguous verb choices.

Tool Count4/5

47 tools is high but reflects the broad scope of the platform (document generation, signing, auditing, scheduling, webhooks, verification). Some informational tools could be merged, but the count is still reasonable for the domain.

Completeness3/5

The tool set covers the core document lifecycle well but has notable gaps: no tool to delete renders, no tool to void/cancel signature requests, and no CRUD for templates (only list and schema). The inability to pause schedules via MCP is also a gap.

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