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nicoloceneda

Fred St Louis MCP

by nicoloceneda

get_category_children

Retrieve subcategories from the FRED economic database to explore hierarchical data structures and find related datasets for financial research.

Instructions

fred/category/children

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
category_idNo
realtime_startNo
realtime_endNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description 'fred/category/children' reveals nothing about whether this is a read or write operation, what permissions might be required, rate limits, error conditions, or what the tool actually does behaviorally. It fails to provide any operational context beyond the tool name.

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 extremely concise at just 'fred/category/children', which is technically efficient with zero wasted words. However, this conciseness comes at the cost of being severely under-specified rather than appropriately informative. Given the scoring criteria focuses on appropriate sizing and front-loading, this minimal description meets the technical definition of conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 3 parameters with 0% schema coverage, no annotations, and multiple sibling tools, the description 'fred/category/children' is completely inadequate. While an output schema exists (which might help with return values), the description fails to explain what the tool does, when to use it, how parameters work, or any behavioral aspects. For a tool in this complex context, the description provides essentially no useful information.

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 3 parameters and 0% schema description coverage, the schema provides no documentation about what these parameters mean. The description 'fred/category/children' adds no semantic information about any parameters—it doesn't mention category_id, realtime_start, or realtime_end, nor does it explain their purpose or format. The description completely fails to compensate for the schema's lack of documentation.

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

Purpose2/5

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

The description 'fred/category/children' is a tautology that essentially restates the tool name without adding meaningful context. It doesn't specify what action the tool performs (e.g., 'retrieve' or 'list') or what 'children' refers to in this context. While it hints at a relationship to categories, it lacks the specific verb+resource clarity needed for an AI agent to understand its function.

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 no guidance on when to use this tool versus alternatives. With multiple sibling tools like 'get_category', 'get_category_related', and 'get_category_series', there's no indication of how this tool differs or when it's appropriate. The description offers no context, prerequisites, or exclusions for usage.

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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