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Ansvar: EU Compliance & Legal Intelligence

Get Current Step

get_current_step
Read-only

Check which step a compliance workflow is currently on and what input is needed next. Use this when someone asks 'where are we in the gap analysis', 'what's the next step', or 'what do I need to provide now'. Returns the current step description and expected input format. questions_for_user is advisory — answerable from context or uploaded documents; requires_user_input=true is the server-enforced human-input gate, and the step then lists user_provided_fields that must be filled before calling submit_response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflow_idYesId of the workflow run, as returned by start_workflow. Recover a lost id with list_workflows.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the read-only annotation, the description discloses key nuances: questions_for_user is advisory while requires_user_input is server-enforced, and it explains user_provided_fields gating submit_response. This adds significant operational context not available from annotations alone.

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?

Three sentences, each earning its place: the main purpose, usage examples, and important field semantics. It is dense with useful information and contains no redundant phrases.

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?

With an output schema present, the description doesn't need to enumerate return fields, but it explains their behavior (advisory vs. enforced, user_provided_fields). This covers the core functionality and edge-case semantics, making it complete for an agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already fully documents workflow_id, including its origin from start_workflow and recovery via list_workflows (100% coverage). The description does not add further parameter semantics, so the baseline score of 3 is appropriate.

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 checks which step a compliance workflow is currently on and what input is needed next. It names the specific resource (compliance workflow step) and a concrete verb (check), and the example queries distinguish it from related tools like get_progress.

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 provides explicit usage triggers: 'Use this when someone asks...' with concrete example phrasings. It does not explicitly mention when not to use it or alternatives, but the context is clear and actionable for an agent.

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 clearly distinct purposes, but a few pairs overlap: get_current_step vs get_progress, search_cve vs search_by_product, and describe_capabilities vs get_my_capabilities. The descriptions provide enough detail to differentiate them, but agents could still occasionally misselect.

Naming Consistency4/5

Names overwhelmingly follow a verb_noun snake_case pattern (get_*, list_*, search_*, start_*, etc.). Minor deviations like 'diff' and 'search' (single-word) and 'batch_search' (compound modifier) are predictable and don't disrupt the overall consistency.

Tool Count3/5

With 30 tools, the server is on the heavier side. The broad scope (legal intelligence, CVE data, full workflow engine) justifies many tools, but some are internal or niche (probe_corpus, recommend_subagents) and could be hidden. It's borderline between well-scoped and excessive.

Completeness4/5

The legal and CVE domains are well-covered: search, provision lookup, validation, diff, coverage, and detailed CVE enrichment. Workflow management is end-to-end. However, get_regulatory_deadlines is referenced by get_regulatory_intelligence_status but not exposed in the toolset, leaving a notable gap.