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nicoloceneda

Fred St Louis MCP

by nicoloceneda

get_observations

Retrieve economic data observations from FRED by specifying a series ID, with options to filter by date range, frequency, and other parameters for analysis.

Instructions

fred/series/observations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
series_idYes
realtime_startNo
realtime_endNo
limitNo
offsetNo
sort_orderNodesc
observation_startNo
observation_endNo
unitsNo
frequencyNo
aggregation_methodNo
output_typeNo
vintage_datesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

With no annotations provided, the description carries full burden for behavioral disclosure but offers none. It doesn't indicate whether this is a read or write operation, what permissions might be needed, rate limits, pagination behavior (despite limit/offset parameters), or what the response contains. The description fails to describe any behavioral traits.

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

Conciseness2/5

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

While technically concise with a single path-like string, this is under-specification rather than effective conciseness. The description doesn't front-load critical information and fails to provide any meaningful content that would help an agent understand or use the tool.

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?

For a complex tool with 13 parameters, no annotations, and many similar sibling tools, the description is completely inadequate. While an output schema exists (which reduces the need to describe return values), the description fails to address the tool's purpose, usage context, behavioral characteristics, or parameter meanings - leaving critical gaps for agent understanding.

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?

With 13 parameters and 0% schema description coverage, the description provides absolutely no information about any parameters. It doesn't explain what 'series_id' refers to, what the various date parameters mean, what units/frequency/aggregation_method options exist, or how output_type works. The description adds zero value beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'fred/series/observations' is a tautology that merely restates the tool name in a path-like format without explaining what the tool actually does. It doesn't specify what 'observations' are, what resource is being accessed, or what action is performed. No verb or clear purpose is stated.

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

Usage Guidelines1/5

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

The description provides zero guidance on when to use this tool versus the many sibling tools (like get_series_observations, get_release_observations_v2, etc.). There's no mention of appropriate contexts, prerequisites, or alternatives, leaving the agent with no usage direction.

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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