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Opedd — Licensed Content for AI

get_audit_events

Browse per-event audit rows for the authenticated buyer via GET /buyer-audit (Phase 9.x). Each row carries license_terms + Tempo on-chain attestation (merkle_root + inclusion_proof when blockchain_status='confirmed'). Optional filter by event_type ('content_access', 'bulk_content_access', 'compliance_report_generated'). Window cap 30 days (vs 90-day cap on get_compliance_dossier). Attestation inclusion proof is included on every row by default — no separate flag needed (M6.4 consolidation per founder ratification: tools 4 + 6 merged into one cleaner mental model). Auth: an audit-scoped buyer API key (OPEDD_BUYER_TOKEN — create at opedd.com/buyer, Account → API keys) or OPEDD_BUYER_JWT.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoISO 8601 timestamp upper bound (inclusive)
fromNoISO 8601 timestamp lower bound (inclusive)
limitNoMax events per response (default: 50, max: 200)
cursorNoOpaque cursor for pagination
event_typeNoOptional event-class filter

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so thoroughly: it discloses auth requirements (OPEDD_BUYER_TOKEN or OPEDD_BUYER_JWT), row shape, when inclusion_proof appears, the default inclusion behavior, and the 30-day window cap. It also explains that no separate flag is needed, preventing a likely misinvocation.

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 main purpose, filters, window cap, row contents, and auth are front-loaded and dense with useful info. Minor noise exists in internal references like 'Phase 9.x' and 'M6.4 consolidation per founder ratification' — these add historical context but do not help an agent select or invoke the tool correctly.

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 tool with no output schema and no annotations, the description explains the endpoint, auth, filtering, window limitation, row contents, attestation semantics, and default inclusion behavior. An agent has enough contextual information to call this tool correctly and interpret its response; nothing critical 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?

The input schema already describes all five parameters at 100% coverage, so the baseline is 3. The description adds meaningful beyond-schema semantics by specifying the 30-day window cap that constrains from/to, and by enumerating the event_type options. This is useful context that the schema alone does not provide.

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 and resource ('Browse per-event audit rows for the authenticated buyer via GET /buyer-audit'), names the row contents, and distinguishes itself from get_compliance_dossier by the 30-day vs 90-day window cap. An agent can immediately tell what this tool does and how it differs from its closest sibling.

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 context: optional event_type filtering, the 30-day window cap, and a direct comparison to the 90-day cap on get_compliance_dossier. It implies when to choose this tool over the sibling, though it stops short of an explicit 'use this when X, otherwise use Y' rule or a list of 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.