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fred-economic-intelligence-mcp

fred-economic-intelligence-mcp

by prithvi1029
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

latest_snapshot

Retrieve the most recent valid observation for multiple FRED series at once.

Instructions

Return the latest valid observation for multiple FRED series.

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": {
      "series_ids": "<series_ids>"
    },
    "name": "latest_snapshot"
  }
}

Input Schema

NameRequiredDescriptionDefault
series_idsYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'valid' observation but does not define what constitutes valid (e.g., non-null, latest by date). No mention of error handling, rate limits, or data source freshness.

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 description is a single, clear sentence with no extraneous content. It is front-loaded and efficient.

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 the presence of an output schema, the description lacks crucial context: usage guidelines, parameter details, and behavioral transparency. For a tool with one parameter and no annotations, the description is too minimal to be considered complete.

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

Parameters2/5

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

Schema description coverage is 0%. The description adds no meaning beyond the schema; it simply says 'multiple FRED series' without explaining input format, limits, or behavior for invalid series IDs. The schema already defines the parameter, so the description adds no value.

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 purpose: returning the latest valid observation for multiple FRED series. It uses a specific verb and resource, and distinguishes from siblings like 'get_series_observations' which likely returns historical data.

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 is provided on when to use this tool versus alternatives such as 'get_series_observations' or 'compare_series'. The description does not mention conditions for use or when to avoid it.

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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