convert
Convert crypto amount to fiat/crypto. Optimized PKR via Binance P2P when requested.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| to | Yes | usd, eur, pkr, btc, eth, etc | |
| from | Yes | ||
| amount | Yes |
Convert crypto amount to fiat/crypto. Optimized PKR via Binance P2P when requested.
| Name | Required | Description | Default |
|---|---|---|---|
| to | Yes | usd, eur, pkr, btc, eth, etc | |
| from | Yes | ||
| amount | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals one behavioral trait—PKR conversions may be optimized via Binance P2P—but does not explain rate sources, whether live data is fetched, how output is formatted, or whether any side effects occur. This is insufficient for an agent to predict the tool's runtime behavior accurately.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded with the core action, followed by a brief optimization note. Every sentence carries some information, and there is no redundant filler. However, the second sentence is somewhat cryptic and could have been clearer, which slightly reduces its structural effectiveness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of an output schema and sparse parameter documentation, the description does not provide enough context for correct invocation. It omits the return format, the meaning of 'optimized', how rates are determined, and any constraints on the 'from' or 'to' values. An agent would need to make assumptions or query additional tools to use it reliably.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is only 33%, so the description must compensate for the undocumented 'from' and 'amount' parameters. It adds some context by implying the input amount is a crypto amount and 'from' is likely a cryptocurrency, but it does not clarify accepted formats, units, or the exact meaning of the 'to' values beyond the schema's short list. The PKR optimization adds slight meaning to 'to' but remains underspecified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear action—'Convert crypto amount to fiat/crypto'—with a specific resource (crypto amount) and a notable optimization ('Optimized PKR via Binance P2P'). It distinguishes itself from siblings like get_price or compare_coins, though it does not fully elaborate on whether fiat-to-crypto or crypto-to-crypto conversions are also supported. Overall, it is specific enough to avoid being a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no explicit guidance on when to use this tool versus alternatives such as get_price or portfolio_value. It only hints at a special PKR path via Binance P2P, but never states the conditions that trigger this optimization or when a user should prefer this tool over another. The agent is left to infer use cases from the name and short description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct action or use case: single price lookup, comparison, conversion, historical data, portfolio valuation, profit calculation, gas fees, search, top lists, and trending. Even get_price and compare_coins are clearly separated by single vs multi-coin scope.
Most tool names follow a clear, identifiable pattern with snake_case and intuitive operation+target naming like compare_coins, get_price, search_coin, and top_coins. A few deviations like convert, gas_tracker, and trending are still readable and not confusing.
Ten tools is well-scoped for a crypto toolkit. Each tool serves a meaningful standalone purpose and the count is neither bloated nor too thin.
The toolkit covers a broad range of crypto needs: pricing, comparisons, conversion, history, portfolio valuation, profit calculations, gas fees, top coins, and trending. Minor gaps exist around exchange-level data or detailed coin metadata, but the core surface is quite complete.