get_crypto_doge
[COST: ] Get Dogecoin price via CoinGecko
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
[COST: ] Get Dogecoin price via CoinGecko
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that it gets the price; it does not disclose rate limits, response format, failure modes, or any side effects. The placeholder '[COST: ]' hints at a potential cost but is empty, adding confusion rather than transparency.
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 extremely short (one clause) but includes the cryptic '[COST: ]' placeholder that is not explained. While brevity is good, the placeholder introduces noise without value. The structure is not front-loaded with the most critical info in a polished way.
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?
For a simple no-parameter tool, the description is thin. There is an output schema, so return structure might be covered, but the description does not explain the source's reliability, any error conditions, or what the agent should expect when invoking it. Given the absence of annotations, this is a significant gap in completeness.
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?
The tool has zero parameters and schema coverage is 100% (empty schema), so there is nothing for the description to clarify about inputs. The baseline for zero-parameter tools is 4, and the description does not need to add parameter details.
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 clearly states the action ('Get'), the resource ('Dogecoin price'), and the source ('via CoinGecko'), which unambiguously distinguishes it from sibling crypto tools like get_crypto_eth or get_bitcoin_price. The tool name itself reinforces the specific cryptocurrency, so an agent can instantly tell what it does.
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?
There is no explicit guidance on when to use this tool versus alternatives. While the name implies Dogecoin-specific use, the description does not mention any conditions, exclusions, or alternative tools. An agent is left to infer usage from the name alone, which is minimal 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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