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sreerajkrishnank

tickertape-mcp

Screen US ETFs

screen_etfs

Filter US ETFs by metrics like AUM, expense ratio, and returns. Narrow results by fund category and sort for analysis.

Instructions

Screen US ETFs by AUM, expense ratio, returns, dividend yield, and other metrics. Use list_filters to discover metric names. Use categories to restrict to fund categories (e.g. "Large Blend", "Digital Assets").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoRows to return (max 100).
offsetNoRows to skip, for pagination.
columnsNoExtra metric columns to show. Filtered and sorted metrics are always shown.
filtersNoNumeric constraints, e.g. [{"metric":"expenseRatio","max":0.1},{"metric":"aum","min":1000}].
sort_byNoMetric to sort by (alias or label).aum
categoriesNoRestrict to these fund categories, e.g. ["Large Blend","Digital Assets"].
sort_orderNoSort direction.desc
Behavior3/5

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

No annotations provided, so description carries full burden. It doesn't explain return format, pagination behavior beyond parameters, or rate limits. The schema covers basic constraints, but behavioral traits are lacking.

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?

Two sentences, front-loaded with the core action and a quick reference to sibling tool. Every word is purposeful and no waste.

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

Completeness4/5

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

Given 7 parameters, no annotations, and no output schema, the description covers the screening purpose and directs to list_filters. Missing return format explanation, but otherwise adequate.

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?

Schema coverage is 100%, so baseline 3. The description adds context for filters and categories but doesn't significantly enhance understanding of parameters beyond the schema.

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

Purpose5/5

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

The description clearly states the tool screens US ETFs by metrics like AUM, expense ratio, returns, and dividend yield. It distinguishes from siblings by specifying 'US ETFs' vs stocks or filter discovery.

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

Usage Guidelines4/5

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

The description advises using list_filters to discover metric names and mentions categories for restriction. It could explicitly state when not to use, but the guidance is helpful.

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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