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extract_from_flow

Extract targeted data from captured HTTP/HTTPS traffic by applying JSONPath or CSS selectors to response bodies. Simplify analysis of web requests and responses.

Instructions

Extract specific data from a flow's response body using JSONPath or CSS selectors. Args: flow_id: The ID of the captured flow json_path: A JSONPath expression to extract data from a JSON response css_selector: A CSS selector to extract data from an HTML/XML response

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flow_idYes
json_pathNo
css_selectorNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must fully disclose behavior, but it omits details such as error handling, what happens if both selectors are provided, or format requirements for the flow's response body.

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 relatively concise, but the Args section could be more front-loaded; overall no wasted sentences.

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

Completeness3/5

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

Given the presence of an output schema, omission of return value information is acceptable, but missing behavior details (e.g., selector priority, error conditions) reduce completeness.

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 description coverage is 0%, so the description adds meaning by explaining each parameter's purpose, but it simply restates the parameter names without deeper 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 extracts data from a flow's response body, naming specific selectors (JSONPath/CSS), which distinguishes it from siblings like inspect_flow or extract_session_variable.

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?

No explicit guidance on when to use this tool versus alternatives like inspect_flow or get_flow_schema; usage is merely implied by the description.

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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