API-getAllEpochs
Retrieve all epochs from the RSS3 network to access historical data across decentralized chains and social media platforms.
Instructions
Retrieve all epochs
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all epochs from the RSS3 network to access historical data across decentralized chains and social media platforms.
Retrieve all epochs
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. 'Retrieve' implies a read operation, but it doesn't disclose behavioral traits such as rate limits, authentication needs, pagination, or response format. For a tool with zero annotation coverage, this is a significant gap in 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 a single, efficient sentence with zero waste. It's front-loaded with the core action and resource, making it easy to parse quickly without unnecessary elaboration.
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 complexity of retrieving 'all epochs' (which could involve large datasets), the lack of annotations and output schema means the description is incomplete. It doesn't address critical aspects like return format, pagination, or error handling, leaving the agent under-informed for effective use.
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 0 parameters with 100% schema description coverage, so the schema fully documents the absence of inputs. The description doesn't add parameter details, but with no parameters, a baseline of 4 is appropriate as no compensation is needed for missing information.
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 'Retrieve all epochs' clearly states the action (retrieve) and resource (epochs), but it's vague about scope or format. It doesn't differentiate from sibling tools like 'getEpochById' or 'getEpochsAverageAPY', leaving ambiguity about what 'all' entails (e.g., paginated, filtered, or complete list).
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 guidance is provided on when to use this tool versus alternatives. With siblings like 'getEpochById' for specific epochs and 'getEpochsAverageAPY' for aggregated data, the description lacks context on use cases, prerequisites, or exclusions, leaving the agent to infer based on tool names alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/RSS3-Network/mcp-server-rss3'
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