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TunnelMind Data API

compliance_ledger

Returns your hash-chained decision records — one per verdict-bearing call (/v1/verify, /v1/explain, /v1/preflight, /v1/profile) made while compliance is enabled. Each entry carries its node, verdict, scores, receipt_id, the full decision record, and the chain hashes (prev_hash, entry_hash). Filter with from/to (ISO8601) and page with cursor (a seq) + limit (≤1000).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoISO8601 upper bound (inclusive).
fromNoISO8601 lower bound (inclusive).
limitNoPage size, max 1000.
cursorNoResume after this seq.

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the scope (records from verdict-bearing calls while compliance is enabled), the fields each entry carries, and the filtering and pagination behavior. It does not mention ordering or error cases, but covers the essential behavioral traits well.

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 three sentences: purpose, fields, and filtering/pagination. It is front-loaded with the core purpose, and every sentence provides necessary information without waste. The structure is logical and easy to scan.

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?

Given the tool's complexity (a paginated ledger) and the absence of an output schema or annotations, the description is quite complete. It covers the returned content, the filtering and pagination mechanics, and the scope. It could mention ordering, but overall it is sufficient for an agent to 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?

The input schema already provides 100% coverage with descriptions for all four parameters. The description largely restates the schema ('Filter with from/to (ISO8601) and page with cursor (a seq) + limit (≤1000)') and adds marginal clarification that cursor is a sequence number, which the schema already notes. Thus, the baseline of 3 applies.

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 uses a specific verb ('Returns') and clearly identifies the resource ('hash-chained decision records') with a precise scope ('one per verdict-bearing call... while compliance is enabled'). It distinguishes itself from siblings like compliance_export or audit_export by emphasizing the hash-chained structure and the included fields.

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 clearly implies when to use the tool: when you need your hash-chained decision records. It provides context by listing the qualifying call types and the filtering/pagination options. However, it does not explicitly mention alternatives or exclusions, so it falls short of a 5.

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.

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