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Bidda Sovereign Intelligence

by com.bidda

check_action_compliance

Read-only

Pre-flight regulatory check. Agent describes an intended action in natural language ("process EU resident biometric data", "transfer health records to a third-party AI vendor", "deploy autonomous trading model in Singapore") and receives a ranked list of regulations that may apply, plus a risk indicator (LOW/MODERATE/HIGH). The primary tool for runtime compliance gating in autonomous agent workflows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax matches to return. Default 10. Max 25.
actionYesNatural-language description of the intended action.
jurisdictionNoOptional jurisdiction filter (eu, us, uk, etc.).

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true and openWorldHint=true. The description adds value by detailing the output (ranked list of regulations, risk indicator) and the 'may apply' nuance, indicating a non-exhaustive heuristic. This aligns with annotations and adds transparency.

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?

Two sentences, front-loaded with the core purpose, then examples, then positioning. No redundant words.

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 3 params, no output schema. The description provides sufficient context about inputs (natural language action), outputs (ranked list + risk indicator), and usage domain. It could detail the output structure more, but for a read-only compliance check, this is adequate.

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 covers 100% of parameters with descriptions. The description enhances the 'action' parameter with concrete examples (EU biometric data, health records transfer, trading model) that teach the agent how to phrase queries. Limit and jurisdiction are already well-documented in schema.

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 function: a pre-flight regulatory check that takes natural-language action descriptions and returns ranked regulations with a risk indicator. It distinguishes itself from siblings by being 'the primary tool for runtime compliance gating'.

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?

It explicitly frames when to use: before performing an action, as a pre-flight check, and positions itself as the primary tool for runtime compliance gating in autonomous workflows. It doesn't explicitly name alternatives or when-not-to-use cases, but the context is strong.

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

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes. The few overlapping pairs (get_node vs consult_node, get_latest_changes vs obligation_deltas) are explicitly differentiated in their descriptions, so an agent should be able to select correctly. No tools appear to do the same thing.

Naming Consistency3/5

The majority of tools follow a clear verb_noun pattern (get_node, create_attestation, seal_run). However, several tools deviate significantly: drift_check and gap_check put the noun first, obligation_deltas is a bare noun, and point_in_time and oscal_assessment_results are noun phrases without a verb. This inconsistency makes the set feel less predictable.

Tool Count3/5

At 25 tools, this is at the heavy end of the range. However, the tool set covers a very broad compliance intelligence domain, including discovery, compliance checks, run management, attestations, and change feeds. Each tool has a clear role, but the sheer number may overwhelm agents that need only a subset of functionality.

Completeness5/5

The tool surface is very comprehensive for a compliance intelligence platform. It covers discovery (browse, search, list, get), action compliance checking, jurisdiction comparison, dependency analysis, change tracking, run ledger management, attestation creation, and evidence export. There are no obvious dead ends or missing core operations for the stated domain.

Resources