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TunnelMind Data API

cross_lens_lookup

Returns all three lens views for a single node key without computing a fused verdict. Use this when you want raw transparency — the Tracker catalog presence, Scry attacker observations, and Sigil supply-graph position — and intend to make your own decision. For an opinionated verdict, call cross_lens_verify instead. For an agent-side allow/caution/deny gate plus signed consultation receipt, call preflight_should_i_act.

Coverage block exposes which lenses responded so agents can reason about partial-data verdicts. issued_by carries the OAI of the answering witness so the response is attributable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeYesIPv4/IPv6 address, domain, ASN with optional `AS` prefix, or entity_slug. Type is auto-detected.

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full transparency burden, and it adds meaningful behavioral detail: it does not compute a fused verdict, it returns raw lens views, the coverage block indicates which lenses responded, and issued_by provides attribution. It does not mention error handling or rate limits, but for a read-only style lookup this is adequate and substantially beyond a bare restatement.

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?

The description is concise and front-loaded: the first sentence states the core behavior, the second clarifies use cases and alternatives, and the third adds response-relevant details (coverage, issued_by). Every sentence earns its place, with no filler or repetition of schema content.

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 single-parameter lookup tool with no output schema and no annotations, the description provides complete context: it names the three lens views, explains the no-fused-verdict behavior, points to alternatives for different needs, and highlights response fields needed for reasoning about partial data. This is sufficient for an agent to select and invoke the tool 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?

There is only one parameter, node, and the schema already fully describes it (IPv4/IPv6 address, domain, ASN with optional AS prefix, or entity_slug; type auto-detected). The description adds no new parameter-specific details beyond calling it a 'node key,' so a baseline of 3 is appropriate given 100% schema coverage.

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 opens with a specific verb and resource: 'Returns all three lens views for a single node key without computing a fused verdict.' It also differentiates from siblings by stating what it does NOT do ('without computing a fused verdict') and by naming the raw-transparency use case, which clearly separates it from cross_lens_verify and preflight_should_i_act.

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?

Usage guidance is explicit: 'Use this when you want raw transparency... and intend to make your own decision.' It also names specific alternatives ('For an opinionated verdict, call cross_lens_verify instead. For an agent-side allow/caution/deny gate plus signed consultation receipt, call preflight_should_i_act.'), giving clear when-to-use vs. when-not-to-use context.

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

B3.3/5.0
Disambiguation2/5

Many tools overlap in purpose, such as cross_lens_verify, cross_lens_lookup, profile_entity, and preflight_should_i_act, which all return node verdicts with subtle differences. Sigil verification tools and receipt-related tools also have similar names and require deep reading to distinguish.

Naming Consistency3/5

The tool names are mostly readable, but the pattern is mixed: some use verb_noun (get_domain, create_subscription) while others use domain prefixes (sigil_*, ghostroute_*, intel_*). Within each domain, naming is consistent, but the overall style lacks uniformity.

Tool Count1/5

With 90 tools, this server is extremely overloaded. Even for a multi-purpose data API, the sheer number overwhelms and makes navigation difficult, far exceeding the typical well-scoped MCP server. The count is an extreme mismatch for the apparent scope.

Completeness4/5

The tool surface is very comprehensive, covering tracker lookup, cross-lens verification, receipts, compliance, subscriptions, tasks, intel probes, and more. Minor gaps exist, such as no batch cross-lens verification, but core workflows are well covered.

Resources