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BasharAmso

Cortex MCP

by BasharAmso

search_knowledge

Search 735 knowledge fragments across 26 domains to find validated patterns, skill procedures, and implementation examples for code, architecture, and design decisions.

Instructions

Search 735 knowledge fragments across 26 domains for validated patterns, skill procedures, and implementation examples. Use before writing code, designing architecture, or reviewing work to ground your approach in battle-tested practices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoOutput detail level (default: minimal)
queryYesNatural language search query
budgetNoToken budget limit (default: 4000)
pillarNoFilter to a specific pillar/domain (e.g., 'game-dev', 'ecommerce', 'architecture')
categoryNoFilter to a specific category
Behavior3/5

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

No annotations provided, so description must cover behavioral aspects. It mentions scope (735 fragments, 26 domains) and content types, but lacks details on output format, pagination, or side effects. Adequate but not thorough.

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 well-structured sentences. First sentence defines the action and scope; second provides usage context. No wasted words, front-loaded with key information.

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?

Provides overall context about the knowledge base and when to use. Missing details on output structure (e.g., result format, pagination) and default parameter values. Adequate but could be more complete for a tool with 5 parameters and no output schema.

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 covers 100% of parameters with descriptions. The description does not add additional meaning to parameters; it only provides context for the knowledge base content. Baseline is 3 due to high schema coverage.

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 it searches a knowledge base of 735 fragments across 26 domains for patterns, procedures, and examples. It differentiates from sibling tools like get_fragment and browse_library by focusing on search.

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 recommends use before coding, designing architecture, or reviewing work. However, it does not mention when not to use or suggest sibling alternatives like browse_library for exploration.

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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