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EGX Sector Rotation Scanner

egx_sector_scanner
Read-only

Sector rotation scanner for EGX — identifies hot/cold sectors and top picks.

Args:
    timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D)
    top_n_sectors: Number of top sectors to show stock picks for (1-18, default 5)
    top_n_stocks: Number of top stocks per highlighted sector (1-10, default 3)
    min_stock_score: Minimum stock score for picks (0-100, default 60)

Input Schema

NameRequiredDescriptionDefault
timeframeNo1D
top_n_stocksNo
top_n_sectorsNo
min_stock_scoreNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety and data-source profile is covered. The description adds that output ranks sectors and filters stocks by a score, but discloses nothing about return shape, latency, or that all parameters are optional. Adequate but not rich.

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 purpose is front-loaded in the first sentence, followed by a compact Args block with no filler. The format is slightly mechanical (Python docstring style) but every line earns its place.

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?

No output schema exists, so the description should clarify what comes back; it only loosely says 'hot/cold sectors and top picks' without describing the ranking or score fields. Given four parameters and no return documentation, an agent has enough to call it but not to interpret results confidently.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must carry the load, and it does: it lists the full timeframe enum (5m–1M), numeric ranges for all three count/score params, and defaults. This is meaningfully more than the bare schema, which only supplies titles and defaults.

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?

States a specific verb+resource ('Sector rotation scanner for EGX') and the outcome ('identifies hot/cold sectors and top picks'). However, it never distinguishes itself from the sibling egx_sector_scan, which an agent could easily confuse with it.

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?

There is no when-to-use, when-not, or alternative guidance. The description only states what the tool does, leaving the agent to infer its role relative to egx_sector_scan and egx_market_overview without any explicit routing cues.

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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