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get_quality_standards

Retrieve quality standards for programming languages and frameworks to ensure code follows best practices, security protocols, and architectural patterns.

Instructions

Retrieve quality standards for a language/framework combination.

Args: language: Programming language (typescript, python, etc.) framework: Optional framework (react, fastapi, etc.) category: Filter to specific category (security|architecture|style|all)

Returns: Quality standards for the specified language/framework

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageYes
frameworkNo
categoryNoall

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions what the tool returns but doesn't describe important behavioral aspects like whether it's read-only, if it requires authentication, rate limits, error conditions, or pagination behavior. The description is minimal and lacks operational context needed for safe invocation.

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 clear sections (purpose, Args, Returns) and uses minimal sentences. Each section earns its place by providing essential information without redundancy. However, the Args section could be more integrated with the main description rather than appearing as a separate block.

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 has an output schema (which handles return values) and moderate complexity with 3 parameters, the description is minimally adequate. It covers basic purpose and parameters but lacks important context about behavioral traits, usage guidelines, and detailed parameter semantics that would make it complete for safe and effective use.

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 description lists parameters in the Args section with brief explanations, but with 0% schema description coverage, it doesn't fully compensate. It provides basic meaning for 'language', 'framework', and 'category' but lacks details on format constraints, valid values beyond examples, or how parameters interact. The schema shows defaults and requirements, but the description adds only marginal semantic value.

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 ('Retrieve') and resource ('quality standards for a language/framework combination'). It distinguishes from siblings like 'validate_code_quality' by focusing on retrieval rather than validation. However, it doesn't explicitly contrast with 'get_verification_checklist' which might have overlapping retrieval functionality.

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. It doesn't mention sibling tools like 'get_verification_checklist' or 'validate_code_quality' that might serve similar purposes, nor does it specify prerequisites, constraints, or appropriate contexts for usage beyond the basic parameter requirements.

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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