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TunnelMind Data API

scan_mcp

Connect to a caller-supplied MCP server (Streamable-HTTP transport), read its advertised tools, and run the injection corpus over every tool name / description / input schema — plus a capability heuristic that flags broad, dangerous powers (shell execution, filesystem write, credential access, arbitrary network, destructive DB ops). Returns a per-tool safety report. A caution to review, never a verdict.

This is a single-target, caller-initiated scan. It is NOT a crawler and does not follow links or enumerate other servers. Loopback / private / internal hosts are rejected.

Use this tool when:

  • You are about to connect an agent to a third-party MCP server and want to inspect its tools for embedded instructions or excessive powers first.

Do NOT use this tool when:

  • You only have a blob of text — use scan_injection.

  • You want a trust verdict on a domain or entity — use cross_lens_verify.

Inputs:

  • url (body, required): the MCP server endpoint (http/https).

Returns:

  • server: { name, version } reported by the server, if any.

  • tools_scanned: number of tools inspected.

  • flagged_count: tools with an injection hit or a flagged capability.

  • risk: worst per-tool risk across the server (high/medium/low/none).

  • score: max injection score across tools (0..1).

  • tools: per tool { name, risk, injection{...}, capabilities[] }.

Cost:

  • Free. No API key required.

Latency:

  • Bounded by the target server's handshake; typically <2s.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesMCP server endpoint (Streamable-HTTP). http or https.

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 burden. It discloses key behaviors: single-target, not a crawler, rejects loopback/private/internal hosts, and returns a 'caution to review, never a verdict'. It also covers cost, latency, and what the scan does not do (does not follow links). Minor gap: it doesn't explicitly state whether it invokes the scanned tools, but 'read its advertised tools' implies static analysis.

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 well-structured with clear sections (overview, limitations, when to use/not use, inputs, returns, cost, latency). It's somewhat long but every section earns its place, and the main purpose is front-loaded. No redundant wording beyond necessary clarification.

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?

Despite having no output schema, the description fully documents return fields with types (`server`, `tools_scanned`, `flagged_count`, `risk`, `score`, `tools`). It also covers cost, latency, and safety limitations, making it significantly more complete than typical for a single-parameter tool. The only minor omission is an example, but that's not essential.

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?

Schema coverage is 100% for the single `url` parameter, and the description's input section mostly restates the schema ('MCP server endpoint (http/https)'). It adds the note that `url` is in the body, but this is a minor addition. Baseline 3 is appropriate given high schema coverage; the description adds minimal new semantics.

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 scans a caller-supplied MCP server for injection vulnerabilities and dangerous capabilities, using specific verbs ('Connect', 'read', 'run', 'flags') and resources ('MCP server', 'tool name / description / input schema'). It explicitly distinguishes from siblings by noting it is NOT a crawler and provides alternative tools for other use cases.

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?

The description provides explicit 'Use this tool when' and 'Do NOT use this tool when' sections, with named alternatives (`scan_injection` for text blobs, `cross_lens_verify` for trust verdicts). It also clarifies limitations like single-target and caller-initiated, making the appropriate context unmistakable.

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