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kuklaph
by kuklaph

Get cached Cascade asset nodelet

cascade_asset_get_nodelet
Read-onlyIdempotent

Fetch a specific structuredData nodelet or subtree from a cached asset handle using a JSON Pointer. Provides a convenient view of structured data without direct Cascade access.

Instructions

Use after cascade_read. Fetch the exact structuredData nodelet or bounded subtree at a JSON Pointer in the cached asset_handle returned by cascade_read. This is a convenience view over structuredDataNodes, not an audit-complete view. This tool never reads Cascade directly. Responses are JSON text; structuredContent is authoritative when the response fits. Oversized responses return bounded _cache metadata for cascade_read_response. For cascade_read, read_mode controls preview versus raw Cascade payload shape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asset_handleNoREQUIRED: Asset handle returned by cascade_read structuredContent.asset_handle.
pointerNoJSON Pointer returned by cascade_read preview root_outline or cascade_asset_list_nodelets.
depthNoChild depth to include. Default 0 returns only the exact nodelet.
include_textNoWhether to include text fields in returned nodelets.
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, and idempotentHint. The description adds value by clarifying that this is a convenience view not audit-complete, that it never reads Cascade directly (thus cached), and describes oversized responses returning bounded _cache metadata. No contradiction with annotations.

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 five sentences, front-loaded with the main purpose. Each sentence adds meaningful information without redundancy. It is appropriately sized for the tool's complexity.

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

Completeness4/5

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

For a read tool with no output schema and 4 parameters, the description explains response format (JSON text), authoritative structuredContent, and oversized response behavior. It also references cascade_read for context. While additional details on response structure could help, it is largely complete given the annotations.

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 100%, so baseline is 3. The description adds context about JSON Pointer, bounded subtree, and authoritative structuredContent, but does not provide parameter-specific details beyond the schema. It adds some value but not significant.

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 'fetch' and the resource 'exact structuredData nodelet or bounded subtree at a JSON Pointer', and situates the tool after cascade_read. It distinguishes from siblings by noting it is a convenience view over structuredDataNodes, not an audit-complete view, and that it never reads Cascade directly.

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

Usage Guidelines4/5

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

The description explicitly says 'Use after cascade_read', providing clear context. However, it does not explicitly state when not to use this tool or list alternative tools for different scenarios, though it implies that for full asset reads one should use cascade_read.

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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