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list_skills

List all available skills and capabilities from the research protocol, filterable by name or technology stack to prioritize matching skills.

Instructions

List all available skills/capabilities.

Args: filter: Optional filter for skill names stack: Optional stack filter, comma-separated (e.g. 'python,react'). Skills with matching compatibility.json are prioritized.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNo
stackNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 does not explicitly state that the tool is read-only, nor does it mention any side effects, permissions, or rate limits. The behavior is implied but not transparently disclosed.

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 very concise, with a clear main purpose sentence followed by parameter descriptions. No redundant or unnecessary information.

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?

Given the existence of an output schema, the description does not need to explain return values. It adequately covers what the tool does and its parameters. It could mention pagination or ordering, but for a list tool this is sufficient.

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

Parameters4/5

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

Schema description coverage is 0%, and the description compensates by explaining the parameters: 'Optional filter for skill names' and 'Optional stack filter, comma-separated (e.g. 'python,react'). Skills with matching compatibility.json are prioritized.' This adds value beyond the 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 'List all available skills/capabilities' which is a specific verb and resource. It distinguishes itself from sibling tool 'get_skill' which likely retrieves a single skill.

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 guidance on when to use this tool versus alternatives. The description only explains the parameters but does not mention when to choose this over sibling tools like search_knowledge or semantic_search.

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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