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BasharAmso

Cortex MCP

by BasharAmso

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List all knowledge fragments by category (agents, skills, patterns, examples) or domain pillar. Find what knowledge exists before searching.

Instructions

List all available knowledge fragments, optionally filtered by category (skills, patterns, agents, examples) or domain pillar (e.g. game-dev, ecommerce). Use to discover what knowledge exists before searching.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pillarNoFilter to a specific pillar/domain (e.g., 'game-dev', 'ecommerce', 'architecture')
categoryNoCategory to browse, or 'all' for everything (default: all)
Behavior3/5

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

No annotations provided, so description carries full burden. It correctly implies a read operation but does not disclose pagination, response format, or any rate limits. Adequate but not rich.

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 sentences front-load the core action and optionality, with zero redundancy. Every sentence serves a purpose.

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?

For a simple list tool with 2 optional params and no output schema, the description is complete enough to guide an agent. It explains purpose, filters, and use case. Could hint at return format but acceptable.

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% for both parameters. Description adds example values (e.g., 'game-dev', 'skills') but does not significantly extend beyond what the schema's description already provides. Baseline of 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?

Description uses specific verb 'List' and resource 'knowledge fragments', with clear optional filters for category and pillar. It distinguishes from siblings like search_knowledge by positioning itself as a discovery tool.

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 states 'Use to discover what knowledge exists before searching', implying when to use it (discovery) and hinting at the alternative search_knowledge for targeted queries. Could be more explicit about when not to use.

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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