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TunnelMind Data API

sigil_receipt_generate

Assembles the ATAP v0.1 §7.5 Receipt ZIP for an AIT — the signed Receipt (manifest.json), the AIT, the Attestation Block chain, the witness public key, a tier-graded summary.json, the bundled verify.sh reference verifier, and the witness events + sigil_tokens as profile artifacts. Any pending events are rolled into a final block first.

The ZIP verifies offline — unpack it and run verify.sh; keys are at https://tunnelmind.ai/atap/keys. The summary grades every event as witnessed, anchored, or asserted and reports the anchored-bid coverage ratio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aitYes
formatNofull

TDQS

A4/5.0
Behavior5/5

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

With no annotations provided, the description carries full burden and delivers rich behavioral detail: it lists all ZIP components, states that 'any pending events are rolled into a final block first', explains offline verification, and describes the summary grading scheme.

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 two focused paragraphs: first the package contents, then verification + summary behavior. It is slightly dense but every sentence adds information; no fluff.

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 tool with only 2 params and no output schema, the description is largely complete in explaining behavior and output contents. However, the unexplained 'format' parameter prevents a higher score, and the return value (e.g., ZIP file location) is not addressed.

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

Parameters2/5

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

The schema has 0% description coverage, so the description must explain parameters, but it only mentions the AIT implicitly ('for an AIT') and never explains the 'format' enum (full vs summary), leaving a significant gap for one of the two parameters.

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 names a specific verb ('Assembles') and resource ('ATAP v0.1 §7.5 Receipt ZIP for an AIT'), clearly distinguishing it from sibling verification/lookup tools by detailing the ZIP's full contents and offline verification purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly communicates what the tool produces and how to use the output ('unpack it and run verify.sh'), but does not explicitly contrast it with sibling tools like generate_receipt, get_receipt, or verify_receipt, leaving the 'when to use vs alternatives' implicit.

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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