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detect_phoenix

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Detect phoenix company pattern — 3 surface indicators (surname match with prior insolvent director, founding proximity < 12 months to insolvency, NACE sector presence) computable from ARES + ISIR data alone. Returns PhoenixReport with riskScore 0-100. Pro Compliance tier or higher. For 4 additional deep indicators (founder identity, asset transfer, multi-cycle, address continuity) see detect_phoenix_rich in @czagents/ddplus.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
icoYesCzech IČO — 7 or 8 digits.

TDQS

A4.6/5.0
Behavior5/5

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

The description goes well beyond the annotations (readOnlyHint, openWorldHint). It adds that the tool is computable from 'ARES + ISIR data alone', returns a 'PhoenixReport with riskScore 0-100', and requires a 'Pro Compliance tier'. These are important behavioral details not present in annotations.

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 with a distinct role: purpose/indicators, output/access, and alternative. No fluff or repetition. The information is front-loaded and every clause earns its place.

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?

For a detection tool with several indicators and an output riskScore, the description covers the essential context: input (ICO), computation (3 indicators, data sources), output (PhoenixReport with riskScore), tiers, and a pointer to the richer version. It does not explain the interpretation of the riskScore or the structure of PhoenixReport, but given no output schema, this is a minor gap.

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 only parameter 'ico' is fully documented in the schema ('Czech IČO — 7 or 8 digits') with 100% coverage. The description does not add any additional meaning about the parameter itself, so the baseline of 3 applies as the schema carries the weight.

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: 'Detect phoenix company pattern' and lists exactly what it computes (3 surface indicators). It also distinguishes itself from the sibling tool detect_phoenix_rich by specifying the limits of surface indicators vs deep indicators, making its role unambiguous.

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?

Explicit guidance is provided: 'Pro Compliance tier or higher' states an access requirement, and 'For 4 additional deep indicators ... see detect_phoenix_rich' directly names the alternative and when to use it instead. This gives the agent clear decision criteria for tool selection.

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
Disambiguation4/5

Most tools have clearly distinct purposes: address crowding, nominee directors, phoenix patterns, owners, statutory chains, timelines, and watch functionality are all separate. However, get_dd_report and get_risk_score overlap significantly (full report vs. just the score), and the three detect_* tools share a similar pattern but apply to different risk types.

Naming Consistency4/5

Tool names predominantly follow a verb_noun pattern (detect_, get_, watch_), but person_companies breaks this convention (noun_noun). The mix of detect_ and get_ verbs is consistent within their respective semantic groups, making the overall pattern readable.

Tool Count5/5

With 12 tools, the server is well-scoped for a due-diligence domain. Each tool addresses a distinct aspect (risk detection, reports, ownership, monitoring) without unnecessary bloat, and the count sits comfortably within the ideal range.

Completeness4/5

The server covers the core due-diligence lifecycle reasonably well: company facts, risk scoring, timeline, ownership, EU lookup, and monitoring onboarding. Minor gaps exist—watch_entity is a stub, and advanced features are explicitly deferred to a companion server (ddplus)—but these are acknowledged and don't break the primary workflows.