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Astral MCP

Astral Capabilities

astral_capabilities
Read-onlyIdempotent

Read this first to plan your sequence of calls by understanding the MCP's computing capabilities: house systems, zodiacs, bodies, aspects, features, dual-engine precision model, and what is not included.

Instructions

Explain what astral-mcp can compute: supported house systems, zodiacs, bodies, aspects and features, the dual-engine precision model, what is NOT included (nodes, Chiron, interpretations), and the recommended agent workflow. Read this first to plan a sequence of calls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_formatNoOutput shape. 'markdown' is a readable briefing for display; 'json' returns the full structured chart for further processing.markdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
linksYes
creatorYes
enginesYes
projectYes
mcp_nameYes
supportedYes
not_includedYes
recommended_agent_flowYes
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds context about the content (e.g., no interpretations) and recommended workflow, which goes beyond annotations.

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 two sentences with no redundancy. The first sentence lists key content, the second provides a directive. It is front-loaded and every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool is a capabilities overview, the description covers included/excluded items and workflow. Output schema handles return structure. The description is fully adequate for its purpose.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers 100% of the single parameter with enum and description. The description adds meaning by explaining the difference between 'markdown' and 'json' outputs, helping the agent choose appropriately.

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 uses specific verb 'explain' and resource 'astral-mcp capabilities', listing included and excluded items. It clearly distinguishes from sibling tools by being the general overview.

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?

The description explicitly says 'Read this first to plan a sequence of calls', providing clear when-to-use guidance. It also lists what is NOT included, helping avoid misuse. However, it does not explicitly state alternatives.

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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