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TunnelMind Data API

sigil_verify_supply_path

The core Sigil pre-bid call. Submit a supply path; Sigil composes its individual checks into one trust verdict and returns a signed sigil_token the agent can attach to its bid as proof of verification.

Checks composed:

  • ads_txt — exchange authorized in the publisher's ads.txt.

  • datacenter_ip — is the IP a datacenter posing as a real user.

  • fraud_signals — is the IP in Scry's attacker-intelligence corpus.

  • bundle_verified — does the app bundle exist in its store.

  • domain_authenticity / entity_reputation — reserved, not evaluated in v1.

Each evaluated check yields pass/warn/fail; trust_score is their weighted mean (override weights per request); verdict is pass/warn/fail/unknown (override thresholds).

PRIVACY: ip_address is used for lookup only — never logged, never stored, never placed in the sigil_token. geo is accepted but unused.

Returns: trust_score (0-1 or null), verdict, checks, recommendations, sigil_token (signed, 5-minute lifetime).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
buyerNoOptional. When present and the verdict is not `fail`, Sigil opportunistically records a `buys_through` edge linking the buyer entity to the resolved DSP. Side-effect persistence only — never affects the verdict or response shape, silent on every failure path. Requires `entity_slug` plus one of `dsp_domain` / `dsp_id`.
receiptNoWhen true, attach a signed Receipt v1.0 committed to the transparency log. Additive — the response shape is otherwise unchanged, and a signing failure never costs you the verdict (ADR-014).
weightsNoPer-check weight overrides
thresholdsNo{ pass, fail } verdict cutoffs
supply_pathYes

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries full burden and does exceptionally well. It discloses privacy behavior (ip_address never logged/stored/token), the fact that geo is unused, check evaluation semantics (pass/warn/fail, weighted mean, verdict cutoffs), the reserved checks, and the 5-minute token lifetime. This goes far beyond the tool name and schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a summary, check list, scoring explanation, privacy note, and returns. It is a bit long but every section earns its place by providing differentiators and critical behavioral details. Minor redundancy exists (e.g., pass/warn/fail mentioned multiple times), but overall it is efficient and front-loaded.

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?

Given the tool's complexity (nested object parameters, no output schema, no annotations), the description is remarkably complete. It lists all return fields (trust_score, verdict, checks, recommendations, sigil_token), explains the checks, overrides, and privacy, and gives the token lifetime. It covers the essential context an agent needs to invoke the tool correctly.

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

Parameters5/5

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

The description enriches schema parameters by explaining that `weights` overrides the weighted mean calculation and `thresholds` overrides verdict cutoffs. It also clarifies `ip_address` usage privacy and the fact that `geo` is unused (though geo is not in the schema, the intent is clear). Schema coverage is 80%, and the description adds meaning beyond the generic schema descriptions for weights/thresholds.

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 a specific verb+resource: 'core Sigil pre-bid call' that submits a supply path and composes checks into a trust verdict with a signed token. It explicitly lists the checks composed (ads_txt, datacenter_ip, fraud_signals, bundle_verified, etc.), distinguishing it from granular siblings like sigil_verify_ads_txt or sigil_verify_ip_type.

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 clear context: it positions the tool as the core pre-bid call and explains that it aggregates individual checks, implying use when a combined trust verdict is needed. However, it does not explicitly name alternatives or state when not to use this tool (e.g., when only a single check is needed), so it lacks explicit exclusions.

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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