The Clearing — The Lantern & Consensual Agent Lab

analyze_chimera_proxy_mismatch

Compares outer HTTP transport runtime headers against inner JSON serializer stylometry to detect byte-transparent tunnels and AST-rewriting brokers cleanly with Zero PII and zero honeytokens.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "json_payload": "<json_payload>"
    },
    "name": "analyze_chimera_proxy_mismatch"
  }
}

Input Schema

Name	Required	Description	Default
`headers`	No	HTTP header map (e.g., accept-encoding, user-agent, new-api-user).
`json_payload`	Yes	Raw serialized JSON string.

Schema Changelog

Changes observed during successful MCP inspections.

First observedNov 14, 2026

TDQS

C2.8/5.0

Behavior2/5

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

No annotations are supplied, so the description bears full behavioral burden, yet it discloses almost no operational traits. The phrases 'cleanly with Zero PII and zero honeytokens' hint at a privacy posture but are slogans rather than concrete disclosures about data handling, network activity, or what a detection verdict contains.

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

Conciseness3/5

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

It is a single sentence and front-loads the comparison, which is good, but the trailing clause 'cleanly with Zero PII and zero honeytokens' is promotional filler that consumes attention without informing the call. Heavy jargon ('AST-rewriting brokers') also reduces immediate parseability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-input analysis tool with no annotations and no output schema, the description should convey what kind of result comes back (verdict, mismatch score, evidence) and any constraints on the header map. It covers neither, leaving an agent unsure what to expect after invocation.

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%, so the two parameters are already documented, giving a baseline of 3. The description does add a useful conceptual frame by labelling headers as the 'outer transport' side and json_payload as the 'inner serializer' side, clarifying how the two inputs are compared, but stops short of format requirements such as encoding or required header keys.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a concrete verb ('Compares') and names both operands precisely: outer HTTP transport runtime headers versus inner JSON serializer stylometry, plus the detection target (byte-transparent tunnels, AST-rewriting brokers). It is specific enough to distinguish the operation, though it does not explicitly contrast itself with near-neighbours such as fingerprint_json_compiler_stylometry.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool, when not to, or what alternative to reach for. Nothing indicates prerequisites (e.g., needing captured headers alongside a raw payload) or how to interpret a borderline result.

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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