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Angel Intelligence

angel_intelligence

Run an Angel Intelligence swarm (CI_ANGEL, 5 agents) — pre-seed/seed startup triage with a syndicate memo. Returns a run_id immediately; poll check_report_status until completed. Costs 50 credits.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "target": "<target>"
    },
    "name": "angel_intelligence"
  }
}

Input Schema

NameRequiredDescriptionDefault
configNo
targetYesCompany, deal, property, or market category to research.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Beyond the annotations it discloses the async contract (returns a run_id immediately, requires polling), the cost (50 credits), and the internal composition (CI_ANGEL, 5 agents). These are exactly the non-obvious behaviors an agent needs and are consistent with readOnlyHint=false and openWorldHint=true.

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 dense sentences, front-loaded with the action and scope, followed by the operational follow-up and cost. Nothing is repeated or wasted.

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 an async, credit-consuming swarm tool with no output schema, the description covers the return contract (run_id), the polling requirement, and the cost. Minor gaps remain around expected runtime and whether repeated calls spawn duplicate paid runs (idempotentHint=false).

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 50% and the description adds no guidance on what 'target' should contain or how to phrase it, nor on when supplying config.company_domain is worthwhile. Both parameters are at least partially documented in the schema, so the baseline of 3 is appropriate.

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 states a specific verb and resource ('Run an Angel Intelligence swarm') plus scope details (5 agents, pre-seed/seed startup triage, syndicate memo), so an agent knows exactly what the tool produces. It stops short of contrasting with the close sibling angel_deep_intelligence, so the depth/breadth distinction must be inferred.

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?

It clearly indicates the use case — early-stage startup triage — and prescribes the follow-up workflow ('poll check_report_status until completed'), which is the practical when-to-use guidance an agent needs. There are no explicit exclusions or 'use X instead' statements for the deeper angel or company intelligence siblings.

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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