Skip to main content
Glama
predgeAI

whale-data-mcp

by predgeAI

List Predge endpoints & prices (free)

predge_list_endpoints

Discover available API endpoints, their prices, and return data. Use this free listing to review endpoint details before making paid requests.

Instructions

Free. Returns the Predge API description, network, payTo, and every endpoint with its price and what it returns. Call this first to see what's available before paying.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Although no annotations are provided, the description discloses key behavioral traits: it is 'Free' and 'Returns...' data, indicating it is a read-only operation. It also states what is included (API description, network, payTo, endpoints with prices and returned content), which is sufficient for this simple listing tool. It doesn't mention side effects or auth, but given the nature, it is reasonably transparent.

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 extremely concise, using two sentences (and a single-word 'Free.') to convey the key points: cost, output content, and usage timing. It front-loads the most critical fact 'Free' and avoids any fluff, making it easy to parse quickly.

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 tool has no parameters, no output schema, and is simple in nature, the description covers the main aspects: what it does, its free nature, and when to call it. It could potentially detail the exact structure of the response, but for a discovery tool, the high-level overview is sufficient. The description is complete enough to guide the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and the schema coverage is 100% (empty properties). The description still adds meaning by stating what the tool returns, but since there are no parameters, the baseline for 0 params is 4. The description appropriately requires no parameter explanation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb+resource: 'Returns the Predge API description, network, payTo, and every endpoint with its price and what it returns.' It clearly identifies the tool's function as listing endpoints and prices, and differentiates it from siblings by positioning it as the first step to discover available endpoints before paying for others.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly instructs when to use the tool: 'Call this first to see what's available before paying.' This provides clear usage guidance and implies alternatives (other paid endpoints) are to be used after, making the distinction between this discovery tool and the others.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/predgeAI/whale-data-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server