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store_skill

Store a reusable skill with trigger conditions and implementation steps. Automates procedures across sessions by persisting and indexing new skills for retrieval.

Instructions

Store an executable skill with trigger conditions, implementation, and verification steps. Side effect: persists a new skill entry and indexes it. Use when you identify a reusable procedure worth automating across sessions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesUnique skill identifier, e.g. 'deploy_production' or 'run_migrations'
descriptionYesNatural language description of what the skill does (used for semantic retrieval matching)
triggerPatternYesNatural language pattern describing when to suggest this skill, e.g. 'user asks to deploy to production'
implementationTypeYesExecution type: 'bash' for shell scripts, 'python' for Python code, 'mcp_tool_chain' for MCP sequences, 'instruction_sequence' for step-by-step instructions
implementationYesExecutable content: the actual script, code, or instruction steps to run
inputSchemaNoJSON Schema defining the skill's input parameters, e.g. {"env": {"type": "string"}}
verificationNoSteps to verify the skill executed correctly, e.g. 'check deployment URL returns 200'
scopeYesScope to store the skill under, e.g. 'project:recallnest'
sourceNoHow this skill was captured: 'manual' by user, 'agent' by AI, or 'api' programmaticallyagent
tagsNoOptional categorization tags, e.g. ['deployment', 'production']
Behavior3/5

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

No annotations are provided, so the description must cover behavioral traits. It discloses the side effect: 'persists a new skill entry and indexes it.' However, it does not address potential overwrites, error handling, or authorization needs, which are relevant for a creation tool.

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 two sentences long, front-loads the purpose, and contains no redundant information. Every phrase adds value, making it highly concise and well-structured.

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?

Given the tool's complexity (10 parameters, no output schema, no annotations), the description covers the core purpose and side effect but omits details like return format, error behavior, or examples. It is adequate for basic understanding but not fully comprehensive.

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% with detailed parameter descriptions. The tool description adds no specific parameter details beyond summarizing the skill's components (trigger, implementation, verification). Thus it does not significantly enhance understanding beyond the schema.

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

Purpose4/5

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

The description clearly states it stores an executable skill with trigger conditions, implementation, and verification steps. It distinguishes from siblings like store_case and store_workflow_pattern by emphasizing reusability across sessions, though it does not explicitly contrast with them.

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 provides explicit usage guidance: 'Use when you identify a reusable procedure worth automating across sessions.' This helps an agent decide when to invoke this tool, although it lacks mention of when not to use or 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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