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retrieve_skill

Retrieves executable skills matching a natural language task description using semantic similarity. Used when a stored procedure is needed to act, not just recall knowledge.

Instructions

Retrieve executable skills matching a task description by semantic similarity. Read-only. Use when you need a stored procedure to act on, not just recall knowledge.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language task description to match, e.g. 'deploy the app to production'
scopeNoRestrict to skills in a specific scope, e.g. 'project:myapp'. Omit to search all scopes
limitNoMaximum number of matching skills to return, sorted by relevance (default: 3)
Behavior3/5

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

Declares read-only behavior, which is key. No annotations exist, so description carries burden. Does not mention auth, rate limits, or return structure, but read-only is sufficient for basic transparency.

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?

Two efficient sentences, no fluff. Purpose and usage guidance are front-loaded.

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?

Covers purpose, usage, and read-only nature. Lacks return format details, but given no output schema, this is acceptable. Completeness is high for a simple retrieval tool.

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 has 100% coverage with detailed parameter descriptions. Description adds semantic context but does not enhance parameter understanding beyond schema. Baseline 3 is appropriate.

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 retrieves executable skills via semantic similarity, distinguishing it from knowledge recall. It specifies verb, resource, and mechanism, and contrasts with sibling tools like search_memory.

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?

Explicitly guides when to use: when a stored procedure is needed, not just knowledge. Lacks explicit exclusions but context is clear given sibling tool names.

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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