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by ExQA

reverse_analyze_live_login_flow

Reverse-analyze live login or authentication traffic by reading the summary first, then expanding evidence only as needed.

Instructions

Run a task-oriented live login/auth reverse-analysis workflow on new traffic. Read summary/report first and expand evidence only as needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
advanceNo
run_replayNo
message_typeNo
decode_bodiesNo
host_containsNo
path_keywordsNo
descriptor_pathNo
live_session_idYes
snapshot_formatNoSupported live snapshot export formats: `xml` or `native`.xml
replay_use_proxyNo
replay_json_overridesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior2/5

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

With no annotations, the description must carry the full burden of behavioral disclosure. It mentions a workflow and evidence expansion but does not state whether the operation is read-only, can affect live traffic, what it returns, or any side effects like replay or proxy usage. The behavior remains opaque.

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 two concise sentences with no filler. The purpose is front-loaded, and the usage hint is immediately actionable. It is efficient and well-structured, earning top marks for conciseness.

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

Completeness1/5

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

For a complex tool with 12 parameters, no annotations, and minimal schema descriptions, the description is severely incomplete. It lacks explanation of the workflow, expected inputs, outputs, or limitations, making it inadequate for an agent to use effectively.

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

Parameters1/5

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

Schema description coverage is only 8% (only snapshot_format has a description). The description does not elaborate on any of the 12 parameters, such as live_session_id, limit, advance, or run_replay. It adds no meaning beyond the schema, leaving agents without guidance on how to fill them correctly.

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 it runs a 'task-oriented live login/auth reverse-analysis workflow', specifying a specific verb (run), resource (live login/auth reverse-analysis workflow), and scope (new traffic). This distinguishes it from sibling tools like reverse_analyze_live_api_flow and reverse_analyze_live_signature_flow by focusing on login/auth.

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?

It provides a usage hint ('Read summary/report first and expand evidence only as needed') but does not explicitly state when to use this tool over alternatives like reverse_analyze_live_api_flow. The login/auth focus is implied but not contrasted with siblings, leaving selection criteria ambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.