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prithvi1029

fred-economic-intelligence-mcp

by prithvi1029

run_agent_workflow

Execute a supervisor-led multi-agent workflow to answer economic questions using FRED data, with optional shocks and signals for scenario analysis.

Instructions

Run the supervisor-led multi-agent economic intelligence workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
shocksNo
signalsNo
questionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description carries full burden. It only states 'run... workflow' without disclosing whether it is long-running, mutates data, requires authentication, or has side effects. Critical behavioral traits are missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is a single sentence with no redundancy, but it sacrifices crucial information for brevity. It is concise but not appropriately sized given the tool's complexity.

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?

Despite having an output schema, the description lacks parameter guidance, usage context, and behavioral notes. For a tool with three parameters (one required) and no annotations, the description is insufficient for correct invocation.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no information about the three parameters (question, shocks, signals). The AI agent cannot infer roles or constraints from the description alone.

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 states the tool runs a 'supervisor-led multi-agent economic intelligence workflow', specifying the verb and resource. It distinguishes from sibling tools (e.g., compare_series, simulate_economic_scenario) by characterizing it as a multi-agent workflow rather than a single function.

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?

No guidance on when to use this tool versus alternatives. The description does not contextualize that this is an aggregator workflow that might replace multiple sibling calls, nor does it specify prerequisites or limitations.

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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