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Closelook ranking families

get_ranking
Read-only

Closelook’s other daily ranking families (siblings of get_df_ranking, end-of-day): country-flow / sector-flow / theme-flow (the Directional Flow trend score over ~72 market cuts via US-listed ETFs; views: top, momentum), up-down-beta (up-day beta vs down-day beta over 126 trading days across ~2,700 stocks; views: leaders, fragile, unstable), etf-dispersion (40 funds ranked by how far apart their members’ returns are; views: divided, today, broadest). Mirrors closelook.net/stocks/rankings/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNoFamily-specific cut. Cuts: top (default) | momentum. up-down-beta: leaders (default) | fragile | unstable. etf-dispersion: divided (default) | today | broadest.
limitNoRows to return, 1–25 (default 10)
familyYesWhich ranking family

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, indicating safe read-only behavior. The description adds value by listing the three ranking families with detailed views (e.g., 'views: top, momentum' for flow families), almost 400 characters of extra detail that help the agent understand the scope of returned data. No contradictions with annotations.

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

Conciseness4/5

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

The description is moderately concise at about 500 characters, but the first two sentences could be restructured for clarity. The detailed list of families and views is front-loaded, which is good. Some punctuation and phrasing could be tighter, but overall it is acceptably concise.

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 3 parameters, full schema coverage, readOnlyHint=true, and no output schema, the description adequately explains the families and their views. However, it does not describe the overall return format or behavior such as pagination or data freshness, which would be helpful. Still, for a read-only ranking retrieval tool, this is mostly sufficient.

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 description coverage is 100%, so the schema already documents all three parameters. The description adds some semantic depth by explaining families and views (e.g., 'up-day beta vs down-day beta over 126 trading days'), but does not elaborate on the 'limit' parameter beyond what the schema provides. Baseline 3 is appropriate.

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 'Closelook’s other daily ranking families' and lists the available families (country-flow, sector-flow, etc.), conveying that this tool provides access to various ranking metrics. However, it lacks a specific verb like 'retrieve' or 'get', and the phrase 'Mirrors closelook.net/stocks/rankings/' is somewhat implicit. It distinguishes from sibling get_df_ranking by noting 'end-of-day' context.

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 identifies that this tool is for 'other' daily ranking families distinct from get_df_ranking, but it does not explicitly state when to use this tool versus siblings or when not to. It provides no guidance on prerequisites, context exclusions, or alternatives beyond the implied sibling differentiation.

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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TDQS

A4/5.0
Disambiguation4/5

Most tools map cleanly to a distinct Closelook surface — indices, macro boards, rankings, research, tape, wires. There are a few near-neighbor pairs like get_df_ranking vs get_ranking and get_market_instrument vs get_stock_snapshot, but the detailed descriptions resolve most potential misselection.

Naming Consistency5/5

Every tool follows a clear imperative verb + noun pattern — get_, define_term, compare_indices, search_closelook — with consistent snake_case and essentially all resource-oriented nouns. The naming is predictable and easy to navigate.

Tool Count4/5

25 tools is on the heavy side, above the typical well-scoped range, but each endpoint maps to a meaningful product area of Closelook's public site. The count is justified by the breadth of a financial intelligence service, though it could have been trimmed slightly.

Completeness5/5

The tool surface covers the major Closelook workflows: indices, rankings, macro monitors, stock-level data, earnings, wires, research search, and portfolio snapshots. For a read-only intelligence server there are no obvious dead ends — depth and background material is paired with lookups and daily updates.

Resources