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housing-brief

Fetch 8 FRED housing signals and generate a concise market briefing with phase, direction, supply posture, affordability, narrative, risk, and agent implication.

Instructions

AI-synthesized US housing market briefing. Fetches 8 FRED signals (starts, permits, existing/new sales, months supply, 30Y mortgage rate, Case-Shiller HPI, median price) and uses gpt-4o-mini to produce market phase, direction, supply posture, affordability regime, 150-word narrative, dominant risk, and agent implication. One call collapses 8 FRED lookups + LLM synthesis for REIT analysis, mortgage exposure, consumer wealth, and macro housing drag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so the description carries full burden. It discloses the tool fetches 8 FRED signals and uses GPT-4o-mini for synthesis, and lists output components. However, it does not mention data freshness, caching, or rate limits.

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?

Three sentences, front-loaded with purpose, then details, then applications. No fluff or repetition.

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?

The description explains inputs (FRED signals), processing (GPT-4o-mini), and outputs (market phase, narrative, etc.), plus use cases. Missing details like data frequency or freshness, but overall adequate.

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?

No parameters exist; explicit schema coverage is 100%. The description explains the tool's operation thoroughly, meeting the baseline for zero-parameter tools.

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 it is an 'AI-synthesized US housing market briefing' and lists exactly what signals it fetches and outputs it produces. This distinguishes it from sibling tools like 'macro-brief' or 'energy-brief' by specificity.

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 implies usage for housing market analysis, REIT analysis, mortgage exposure, etc. It does not explicitly state when not to use or provide alternatives, but the sibling list contains other sector briefs, making the context clear.

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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