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hsh-mena-intel

Gulf (MENA) market intelligence for trading agents, per call: oil (Brent and WTI front-month futures, each dated, with the 30-day change and a stated rule for what it means for Gulf equities), sovereign macro (GDP growth, inflation and GDP size as published by the World Bank, each with its year), the currency regime (USD pegs), live Gulf equity pricing for a ticker you send (price and 52-week position), and for Saudi Arabia the TASI index level, breadth and mood with per-stock quotes. Market-level: no company financial statements. Pass a country code and, optionally, a ticker.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerNoOptional Gulf equity ticker, e.g. 2222.SR (Aramco), EMAAR.AE, QNBK.QA, 1120.SR (Al Rajhi).
countryNoGulf country code: SA, AE, QA, KW, BH, OM, EG.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the detailed scope of returned data: dated oil futures with 30-day change, macro indicators with years, currency regime, live equity price and 52-week position, and TASI level/breadth/mood. It also states what is not included. It does not mention side effects, rate limits, or response format, but as a read-only intelligence tool the main behavioral traits are covered.

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

Conciseness3/5

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

The description packs a lot of useful information but is a single dense run-on sentence with nested parentheticals. It is front-loaded with the domain, but the structure makes it harder to parse than necessary. Every clause earns its place, but the formatting could be clearer.

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?

There is no output schema, so the description must explain what the agent receives. It does so in detail: oil futures with dates and 30-day change, macro with years, currency regime, equity price and 52-week position, and TASI level/breadth/mood with per-stock quotes. It also states the key exclusion. It lacks explicit response formatting or error behavior, but it is sufficient for invocation.

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 the baseline is 3. The description adds that a country code should be passed and a ticker is optional, and it ties the ticker to live equity pricing. However, it does not elaborate on country code values beyond the schema, and it implies country is required while the schema marks it optional, a minor inconsistency.

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 tool provides Gulf/MENA market intelligence and enumerates its contents: oil futures, macro data, currency regime, equity pricing, and TASI. This distinguishes it from sibling tools focused on other domains. It lacks a crisp imperative verb like 'retrieve' or 'list', but the resource and scope are unambiguous.

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 gives clear context: it is for trading agents needing Gulf market data, and it explicitly states an exclusion ('Market-level: no company financial statements'), which helps rule out company-level alternatives. It does not name sibling tools or provide explicit when-to-use/when-not-to-use comparisons, but the context is strong.

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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