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technology_best_practices

Retrieve best practices for React or Kubernetes to improve development workflows, security, testing, and deployment.

Instructions

Get best practices for a specific technology.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
technologyYesThe technology to get best practices for. Supported: React, Kubernetes
queryNoSpecific topic or question (optional)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves information ('Get'), implying a read-only operation, but doesn't address other aspects like authentication needs, rate limits, error handling, or what the output format looks like (e.g., structured list, text). This leaves significant gaps for a tool with no output schema.

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 that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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 moderate complexity (2 parameters, no output schema, no annotations), the description is minimally adequate. It clarifies the purpose but lacks details on behavioral traits, output format, and differentiation from siblings. Without annotations or output schema, more context would be beneficial to fully guide the agent.

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?

The schema description coverage is 100%, with clear documentation for both parameters, including an enum for 'technology' and optionality for 'query'. The description adds minimal value beyond this, as it only echoes the schema's purpose without providing additional context like example queries or usage scenarios. This meets the baseline for high schema coverage.

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 the tool's purpose with a specific verb ('Get') and resource ('best practices for a specific technology'), making it immediately understandable. However, it doesn't explicitly differentiate from the sibling tool 'refactor_advice', which might also provide technology-related guidance, so it doesn't reach the highest score.

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 provides no guidance on when to use this tool versus alternatives like 'refactor_advice'. It doesn't mention any prerequisites, exclusions, or contextual cues for selection, leaving the agent to infer usage based solely on the tool name and description.

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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