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load_skill

Load a skill pack to set up a security analysis pipeline and discover relevant servers for automated vulnerability assessment.

Instructions

Load a skill pack to guide the current analysis session.

A skill pack provides a pipeline description and specifies which hub servers are relevant. Once loaded, the pipeline description is available as context and only the listed servers need discovery.

:param name: Skill name (e.g. "firmware-analysis"). :return: Loaded skill with full description and server list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description should fully disclose behavior. It states that loading makes pipeline description available and limits discovery, but does not mention side effects like overwriting previous packs or requirements like session initialization.

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 well-structured with two sentences and a parameter/return docstring. Every sentence adds value, no fluff. Could be slightly more concise but overall efficient.

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?

With one parameter and output schema, description covers basic usage and return. However, it lacks prerequisites (e.g., initialized session), error handling, and does not reference sibling tools like init_project or list_skills for context.

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 0% so description must compensate. It provides an example and explains the parameter is a skill name, but does not specify source of valid names or format constraints. Minimal improvement over schema.

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 loads a skill pack to guide the current analysis session, uses specific verb 'load' and resource 'skill pack', and distinguishes from sibling tools like unload_skill and list_skills by describing the outcome.

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 implies when to use (before analysis session to load a skill pack) and explains the effect on discovery, but does not explicitly mention alternatives or when not to use. The sibling context makes the usage clear enough.

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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