get_defi_protocol
DeFi protocol breakdown with chain TVL. $0.02.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| api_key | Yes |
DeFi protocol breakdown with chain TVL. $0.02.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| api_key | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / properties / api_key / descriptionRemoved value: -"Your API key"Input schema / properties / slug / descriptionRemoved value: -"Protocol slug (e.g. aave, uniswap)"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must fully disclose behavioral traits. It mentions a cost of $0.02, which is a helpful disclosure about per-call expense, but it does not state that the tool is read-only or whether it makes external API calls. It lacks any discussion of side effects, rate limits, authentication needs beyond api_key (which is a parameter), or whether data is cached. The behavioral picture is incomplete.
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 – only one phrase plus a cost note. While it is concise, it sacrifices essential information. Important elements like what exactly is returned (list, object, etc.) are omitted. The structure is minimal but not efficiently informative; it feels under-specified rather than succinct.
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 output schema, no annotations, and zero parameter coverage, the tool requires a comprehensive description to convey its return format, required inputs, and behavior. The description provides almost no contextual completeness; the agent cannot infer what data the breakdown includes, whether it supports multiple protocols, or any nuances. The high number of similar sibling tools makes this gap particularly problematic.
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 input schema has two parameters (slug and api_key) with schema description coverage at 0% – neither parameter has a description in the schema. The tool description adds no explanation of what 'slug' represents (e.g., a protocol identifier) or how to format it. Since the description contributes zero added meaning to the parameters, the score is low.
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 'DeFi protocol breakdown with chain TVL', which indicates the tool retrieves a breakdown of a DeFi protocol including chain TVL. However, it does not explicitly use a verb like 'get' or 'fetch', and among sibling tools like get_defi_pools, get_defi_tvl, get_defi_yields, it fails to clearly distinguish what makes this tool unique. The purpose is implied but not fully differentiated.
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?
No usage guidelines are provided. The description does not indicate when to use this tool versus any of the many similar sibling tools (e.g., get_defi_tvl, get_defi_pools). There is no mention of prerequisites, context, or alternatives, leaving the agent without guidance on tool selection.
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.
Tools generally have distinct purposes, but some overlap exists between price history tools (get_ohlc vs get_price_summary) and meme-related tools (analyze vs scan vs trending). Overall, descriptions help differentiate.
All tool names follow a consistent snake_case verb_noun pattern (e.g., get_price, set_price_alert, analyze_contract). No mixing of conventions.
48 tools is on the higher side, but it covers a broad spectrum of crypto data (prices, DeFi, sentiment, alerts, etc.) and each tool seems justified. However, the count could be slimmed down by grouping similar functions.
Very comprehensive coverage of crypto data: prices, market stats, DeFi, sentiment, gas, alerts, portfolio, arbitrage, token analysis. Minor gaps like NFT data or direct exchange rate queries.