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network_extract

Parse captured JSON/API/network responses into structured objects with fields, scores, and provenance. Use after navigation when raw body preview is too noisy.

Instructions

Parse captured JSON/API/network responses into semantic objects with fields, scores, matched query terms, and capture/path provenance. Use after navigate or activate when network_stores shows JSON/GraphQL/NDJSON captures and raw body_preview is too noisy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostNoOptional substring filter on response host.
limitNoMax objects to return (default 50).
nav_idNoDefaults to the most recent navigation_id. Pass 'all' to inspect all captures.
queryNoOptional task query/goal used to rank objects.
typesNoOptional object kinds to keep, e.g. product_card, article_card, model_card, network_object, card.
Behavior3/5

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

No annotations provided. The description implies a read operation but does not explicitly state non-destructiveness, permissions, or side effects. Adequate but could be more transparent.

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?

Two efficient sentences: first describes functionality, second gives usage context. No redundancy.

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?

Completeness is high given no output schema. Covers purpose, usage context, and conditions for use. All parameters are optional and described in schema.

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 baseline is 3. Description adds no specific parameter details beyond schema, but references outputs like fields and scores which relate to query parameter.

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 verb 'Parse' and the resource 'captured JSON/API/network responses', specifying outputs like fields, scores, query terms. It distinguishes from sibling tools like network_stores and body_preview.

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?

Explicitly states when to use: 'Use after navigate or activate when network_stores shows JSON/GraphQL/NDJSON captures and raw body_preview is too noisy.' Gives clear context and alternatives.

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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