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Glama

Mansa African Markets

get_african_exchange_stocks

Read-onlyIdempotent

Get stocks on a specific African exchange with prices, change percent, volume, market cap, and sector. Supports filtering and sorting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of stocks to return. Defaults to 50.
orderNoSort order. Defaults to desc.
sectorNoFilter by sector (optional).
sort_byNoSort by: price, change_pct, volume, market_cap (optional).
exchangeYesExchange ID. Options: nigeria, ghana, kenya, south-africa, ivory-coast, tanzania, zambia, egypt, morocco, botswana, mauritius, zimbabwe, uganda

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds that the tool returns prices, change percent, volume, market cap, and sector, and supports filtering/sorting. It does not go deeper into behavior like default limits or error handling, but with annotations covering the key aspects, this is adequate.

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 a single, front-loaded sentence that communicates the core purpose and capabilities without any waste. It earns its place by being informative yet compact.

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 the complete parameter schema, clear annotations, and a straightforward list-retrieval use case, the description is sufficiently complete for an agent to invoke the tool correctly. It could mention pagination or result format, but the absence of an output schema lowers that burden. The description covers the essentials well.

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%, with every parameter thoroughly described (exchange enum values, limit default, sort options). The description only echoes 'filtering and sorting' without adding details beyond the schema, so it provides no extra meaning. Baseline 3 is appropriate when the schema does the heavy lifting.

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 identifies the action ('Get') and the resource ('stocks on a specific African exchange') and lists the data fields returned. It does not explicitly distinguish from sibling tools like get_african_exchange_movers or get_ngx_all_stocks, but the focus on exchange-specific stocks makes the purpose clear enough.

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 guidance on when to use this tool versus alternatives. Sibling tools such as get_african_exchange_movers, get_african_indices, and get_ngx_all_stocks overlap in scope, but the description does not mention any exclusions or preferred use cases. The only implication is that it is for listing stocks per exchange, which is weak guidance.

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

A3.9/5.0
Disambiguation4/5

Tools are largely distinct in purpose, with clear resource-specific patterns like get_african_exchange_stocks vs get_ngx_all_stocks. Some overlap exists between generic African tools and NGX-specific convenience wrappers (e.g., get_market_open_status vs get_ngx_market_status), and get_african_policy_rates overlaps with get_country_macro_indicators on inflation/policy rate data, but descriptions clarify these boundaries.

Naming Consistency5/5

All tools follow a consistent get_<domain>_<object> snake_case pattern, with plural/singular used appropriately (e.g., get_african_exchanges vs get_african_exchange). No mixed conventions or vague generic verbs—every name clearly signals its resource.

Tool Count3/5

At 21 tools, the server is on the heavier side but within the 16-25 borderline zone. Each tool addresses a distinct data need for the broad African-markets domain, though some redundancy from NGX-specific wrappers (e.g., get_ngx_market_status vs get_market_open_status) could be trimmed.

Completeness4/5

The server covers a wide range of market data: exchanges, indices, stocks, FX, macro indicators, yield curves, and bank data. Minor gaps include lack of single-stock price/history for non-NGX exchanges and limited historical data beyond Nigeria's macro series, but core market-analysis workflows are well supported.