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IRIS: startup intelligence

get_upcoming

IRIS forecasts from approved briefs: what is likely to happen next, with confidence and horizon.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_upcoming"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that forecasts come from approved briefs and that results include confidence and horizon, but it says nothing about freshness, coverage, read-only behavior, or limitations.

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 definition is a single tight sentence with the core purpose front-loaded and no wasted wording. The colon structure efficiently separates the source from the returned content.

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?

For a zero-parameter, no-output-schema retrieval tool, the description gives a workable summary of what comes back, including confidence and horizon. However, with no annotations or output schema, it should say more about scope, time horizon, and how the forecasts relate to the daily brief and wire siblings.

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?

The tool takes zero parameters, so there are no parameter semantics for the description to explain. The baseline of 4 applies because no input documentation is needed.

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 clearly identifies the resource as IRIS forecasts and specifies the content: what is likely to happen next, with confidence and horizon. It is more specific than the name alone, but it does not explicitly distinguish this retrieval from siblings like get_daily_brief or get_wire.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance, no prerequisites, and no routing to alternatives. The phrase 'what is likely to happen next' implies a forecasting use case, but an agent is left to infer when this tool should be chosen over the other briefing and signal tools.

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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