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kablewy
by kablewy

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Search for economic data series from FRED using text queries and advanced filters to find specific datasets for analysis.

Instructions

Search for FRED data series with advanced filtering options

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchTextYesSearch text for FRED series
limitNoMaximum number of results to return (default: 1000)
orderByNoOrder results by this property
sortOrderNoSort order (default: asc)
filterVariableNoVariable to filter results by
filterValueNoValue of filter variable
tagNamesNoSeries tags to include
excludeTagNamesNoSeries tags to exclude
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 'advanced filtering options' but doesn't explain what 'advanced' entails, such as pagination, rate limits, authentication needs, or what happens with invalid inputs. For a search tool with 8 parameters, this leaves significant gaps in understanding its behavior.

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, efficient sentence that front-loads the core purpose without unnecessary words. It's appropriately sized for a search tool, making it easy to parse quickly.

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?

Given the complexity (8 parameters, no annotations, no output schema), the description is minimal. It states the purpose but lacks details on usage, behavioral traits, or output format. While concise, it doesn't fully compensate for the missing structured data, leaving room for improvement in completeness.

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

Parameters3/5

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

The schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value by hinting at 'advanced filtering options,' but doesn't provide additional meaning or context beyond what's in the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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 verb ('Search') and resource ('FRED data series'), and mentions 'advanced filtering options' which adds specificity. However, it doesn't explicitly differentiate from the 'series' sibling tool, which might offer different functionality like retrieving specific series details rather than searching.

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?

The description provides no guidance on when to use this tool versus the 'series' sibling tool, nor does it mention any prerequisites, contexts, or exclusions for usage. It's a generic statement that lacks operational 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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