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CIPHER x402 — Paid Solana & Crypto Tools

github_repo_health

Score a GitHub repository's health — commit cadence, issue-close latency, contributor diversity, CI green rate, release frequency. Returns 0-100 health score with per-factor breakdown. Priced at $0.02 USDC on Base (x402). Pass a signed x402 v2 authorization as the '_payment' argument to unlock the paid response. Without it, the tool returns the 402 accept-list for your wallet to sign.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesRepo name (e.g. 'solana').
ownerYesGitHub org or user (e.g. 'solana-labs').
_paymentNoOptional. Signed x402 v2 X-PAYMENT header value (base64-encoded EIP-3009 authorization). If present, forwarded upstream; if absent, tool returns the 402 accept-list.

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the payment requirement, that the tool returns a health score with breakdown, and the behavior when payment is missing. It does not mention side effects or auth beyond payment, which is sufficient for a read-only operation.

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

Conciseness3/5

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

The description is somewhat verbose, listing specific health factors that could be implied. It is front-loaded with the main purpose, but the additional details on factors could be trimmed without losing meaning.

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?

Despite no output schema, the description succinctly states the return format (0-100 score with breakdown). The parameters are fully covered, and the payment mechanism is explained, making the tool's usage complete for the given complexity.

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?

Schema coverage is 100%, and the description adds significant detail for the '_payment' parameter (signed x402 v2 authorization format). The 'repo' and 'owner' parameters are self-explanatory, but the payment explanation enhances clarity beyond the schema.

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 clearly states the tool's purpose: scoring a GitHub repository's health based on multiple factors like commit cadence, issue latency, etc. It is distinct from sibling tools, which are for other domains.

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

Usage Guidelines4/5

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

The description explains when to provide a payment parameter for paid access and what happens without it. It does not mention explicit alternatives among siblings, but the unique payment model provides adequate 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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TDQS

A3.6/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose with detailed descriptions, and there is no functional overlap between any tools, even those in similar domains like geocoding (forward vs reverse) or Solana wallet analysis (general scan vs specific protocol exposure).

Naming Consistency2/5

Tool names follow no consistent pattern: some use verb_noun (check_drift_exposure), others use data source prefix (coinalyze_funding_rates, openfda_adverse_events), and a few use domain prefix (solana_wallet_scan). This mixture of conventions makes it hard to predict naming for similar functions.

Tool Count2/5

The server claims to be for Solana & Crypto but only 6 of 15 tools are crypto-related, while the rest cover unrelated domains like medical, nutrition, and geocoding. This dilutes focus and suggests the tool count is mismatched for the stated purpose.

Completeness2/5

For a server named 'Paid Solana & Crypto Tools', the crypto toolset is incomplete, missing common operations like token swaps, DeFi protocol interactions, or NFT queries. The inclusion of many non-crypto tools does not fill these gaps.