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Opedd — Licensed Content for AI

article_53_attestation

Issue a signed JWT attesting to EU AI Act Article 53 compliance for a specific license via GET /eu-ai-act/article-53-attestation (Phase 12 Wave 1 W1.4). Returns a freshly-signed HS256 JWT regulators can verify offline against the canonical signing key. Embeds: license context, usage-count over the attestation window, the most-recent Tempo Merkle root, and canonical claims (iss/sub/iat/exp/jti/aud). The artifact AI labs hand to legal/procurement for EU AI Act Article 53(1)(d) transparency-obligation evidence. Per INVARIANTS.md W1.6: this attests to EU AI Act Article 53 ONLY (buyer-side GPAI-model-provider transparency obligation). It does NOT discharge a publisher's CDSM Article 4(3) reservation obligation — that lives on the rsl_get tool (jsonld=true variant). Never conflate. Optional content_id scopes the attestation to one article; default is license-wide. Window cap: 365 days. Auth: an audit-scoped buyer API key (OPEDD_BUYER_TOKEN) or OPEDD_BUYER_JWT.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
content_idNoOptional UUID of a specific article to scope the attestation. Default: license-wide.
license_idYesUUID of the enterprise_license OR legacy individual license to attest. Buyer must own it.
window_endNoISO 8601 upper bound. Default: now. Window may not exceed 365 days (hard cap).
window_startNoISO 8601 lower bound of the attestation window. Default: now - 90 days.

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden and largely meets it: it discloses the artifact type (signed HS256 JWT), what it embeds (license context, usage-count, Merkle root, canonical claims), the verification model (offline against canonical signing key), and the non-discharge of CDSM obligations. It also discloses the auth requirement and window cap. It doesn't explicitly state whether the operation is read-only or has side effects, and it doesn't describe error/failure modes, but the described behavior covers the main execution-relevant traits. A 4 is justified; a 5 would require side-effect/reversibility/error detail.

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 rich but every sentence earns its place: the artifact type, embedded content, compliance boundary, sibling distinction, parameter scoping, window cap, and auth are all decision-relevant. It is somewhat dense with parentheticals and phase/invariant references that add precision but could be trimmed; however, the structure front-loads the core behavior and then adds constraints. Not a 5 because the parenthetical citations (Phase 12 Wave 1 W1.4, INVARIANTS.md W1.6) add noise for an agent without repository context.

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?

The tool has four parameters, no output schema, and no annotations, so the description must cover behavior, parameters, and result expectations. It explains what the returned JWT contains and how it is verified, which substitutes for an output schema. It covers auth, window constraints, license scope, and the boundary with rsl_get. It does not explicitly describe error cases (e.g., invalid license, unauthorized buyer, window too long), and it does not state whether the call is read-only, but for a JWT-issuance attestation tool the described context is largely complete. A 5 would require explicit error conditions or side-effect disclosure.

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 schema already documents all four parameters with descriptions. The description adds meaning by clarifying the optional content_id's scoping effect (default license-wide) and the 365-day window cap, which reinforces and enhances the schema's window_start/window_end descriptions. It also adds context on ownership ('Buyer must own it') that the schema mentions. This goes beyond the baseline of 3 but not to a 5 because the description does not restate all parameter formats or provide examples.

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 ('Issue a signed JWT attesting...') and identifies the exact resource and endpoint (GET /eu-ai-act/article-53-attestation). It clearly differentiates this tool from the sibling rsl_get by naming what it does NOT do and which sibling handles the CDSM Article 4(3) obligation. This is unambiguous and distinguishes it from all 16 sibling tools.

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 explicitly says when to use this tool: for EU AI Act Article 53 compliance evidence for legal/procurement. It names the alternative (rsl_get with jsonld=true) for the CDSM obligation, and explicitly warns never to conflate. It also provides auth requirements (OPEDD_BUYER_TOKEN or OPEDD_BUYER_JWT), scope behavior via optional content_id, and the 365-day window cap. This is fully actionable guidance with exclusions.

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

A4.1/5.0
Disambiguation4/5

Most tools have distinct purposes, but list_feed and stream_feed_ndjson both list licensed articles (with different formats), and browse_registry vs publisher_directory could confuse agents about scope. Overall, the set is mostly clear.

Naming Consistency4/5

Names follow a verb_noun pattern with underscores (e.g., get_content, purchase_license). A few outliers like rsl_get and article_53_attestation break the pattern slightly, but the majority are consistent.

Tool Count4/5

17 tools cover buyer, publisher, and discovery workflows. While slightly above the typical 3-15 range, the complexity of the licensing platform justifies the count. No tool seems redundant.

Completeness4/5

The tool set covers discovery, purchase, content retrieval, compliance, and attestation comprehensively. Minor gaps like missing license management or key rotation are acceptable given the domain scope.