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picklescan_scan

Scan local files or URLs for unsafe serialization and malicious patterns in machine learning model artifacts to identify security risks.

Instructions

Run picklescan against a local path or downloadable URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNo
urlNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the action without disclosing behavioral traits such as whether it's read-only or destructive, what output to expect, performance characteristics, or error handling. This leaves critical operational details unspecified for a tool with potential security implications.

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 a single, efficient sentence with no wasted words. It's appropriately sized for the tool's apparent complexity and front-loads the core action, making it easy to parse quickly.

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?

Given the lack of annotations, output schema, and low schema coverage, the description is incomplete. It doesn't address what picklescan is, what it scans for, output format, or error conditions. For a security/scanning tool among siblings with similar functions, this leaves significant gaps in understanding.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It mentions 'local path or downloadable URL,' which loosely maps to the 'path' and 'url' parameters but doesn't explain their semantics, constraints, or interaction (e.g., whether both can be used, formats, examples). This adds minimal value beyond the bare parameter names.

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

Purpose3/5

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

The description states the action ('Run picklescan') and target ('against a local path or downloadable URL'), which provides a basic purpose. However, it doesn't specify what picklescan does (e.g., security scanning, model analysis) or how it differs from sibling tools like modelscan_scan or scan_directory_tool, making it vague rather than specific.

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?

The description mentions the input types (local path or URL) but provides no guidance on when to use this tool versus alternatives like modelscan_scan or artifact_safety_report. There's no indication of prerequisites, constraints, or typical use cases, leaving the agent with minimal context for selection.

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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