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astroway

astroway-mcp

Official

MCP Multi-Agent Coordinate

mcp_multi_agent_coordinate
Read-onlyIdempotent

Run multiple astrological agents in parallel and synthesize their answers into a coherent response.

Instructions

Run N personas in parallel + LLM synthesis.

[Group: MCP Advanced]

Example request body: {"question":"...","agents":["classical","modern"]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYes
agentsYes
chartNoBirth data for a single natal chart. Required: date (YYYY-MM-DD), time (HH:mm:ss). Defaults to lat/lon/tz=0 if omitted; pass real values for accurate computation.
languageNoen
Behavior3/5

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

Annotations already provide readOnlyHint=true, destructiveHint=false, idempotentHint=true, so the description does not need to repeat these. It adds the context of running personas and LLM synthesis, which is consistent with the annotations. No contradictions, but no additional behavioral disclosure 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short (3 lines) with an example, which is efficient. However, the group label '[Group: MCP Advanced]' is not actionable context for an agent. The key purpose sentence is front-loaded, but the example could be integrated more succinctly.

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

Completeness2/5

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

Given no output schema, the description should explain what the tool returns (e.g., synthesized text, list of responses). It also does not explain the chart object parameters or language enum, which are optional but important. The tool has complex parameters (nested object) but the description covers barely any context beyond the minimal purpose.

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 description coverage is only 25% (only chart object documented). The description provides an example request body showing 'question' and 'agents', adding some semantics, but it does not explain valid values for 'agents' or 'language' (despite enum). The chart object is documented in schema but not in description. Incomplete compensation for low 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 'Run N personas in parallel + LLM synthesis', which is a specific verb+resource combination. The example shows concrete usage with 'question' and 'agents' parameters. It is distinct from sibling tools like 'mcp_agent_debate' (debate vs synthesis) and other mcp_ tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for parallel multi-agent tasks followed by synthesis, but it does not explicitly state when to use this tool over alternatives like 'mcp_agent_debate' or 'mcp_multi_chart_context'. There is no guidance on prerequisites or situations to avoid.

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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