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gitbeacon-mcp

gitbeacon-mcp

by jcislo
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

get_digests

Fetch historical GitHub digests for tracking open-source trends over 1-30 days. Pay per call via x402; compute-first settlement means no charge for errors.

Instructions

PAID $0.05 via x402. Historical daily GitHub digests tracking open-source trends over time. Pays USDC on Base via x402. Compute-first, settle-after — you are never charged for an error. Set PRIVATE_KEY (wallet with USDC on Base Mainnet) to pay on a live API; without a key the call returns the 402 price terms.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_digests"
  }
}

Input Schema

NameRequiredDescriptionDefault
daysNoLookback period in days (1-30)
limitNoNumber of digests to return

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the cost ($0.05), payment method (x402 USDC on Base), compute-first/settle-after behavior, and the guarantee of no charge on errors. This goes beyond typical tool descriptions, though it omits response format details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact, front-loading the cost and core purpose before explaining the payment setup. It packs substantial detail into two dense sentences without being verbose, though the rapid-fire payment terms could be slightly overwhelming.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description thoroughly explains the payment flow and error handling, which is crucial for a paid tool with no output schema. However, it does not describe the shape or nature of the returned digests, leaving a notable gap given the absence of an output schema.

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

Parameters3/5

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

The input schema already provides descriptions for both parameters (days, limit), covering 100% of the parameters. The description adds little beyond the schema, mentioning lookback period and count but not providing new context, so the baseline score of 3 applies.

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

Purpose4/5

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

The description clearly states the resource ('historical daily GitHub digests') and the scope ('tracking open-source trends over time'), which distinguishes it from get_latest_digest and other siblings by emphasizing historical data. The verb 'get' is specific, though it does not explicitly name alternative tools.

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

Usage Guidelines3/5

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

The description provides operational guidance: requires PRIVATE_KEY with USDC on Base Mainnet to pay, and returns 402 price terms without a key. However, it does not explicitly state when to prefer this over siblings like get_latest_digest or get_sample, leaving usage context implied rather than explicit.

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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