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SAP Chart Indicators

sap_chart_indicators

Compute technical indicators (RSI, EMA-20, EMA-50, MACD, Bollinger Bands, ATR) from DexScreener price data. Returns pre-calculated values with trend/momentum/volatility signals. Reduces analysis time by 5-10 tool calls.

SAP MCP execution guidance: Intent: SAP MCP tool workflow. Pricing: priced by hosted x402 challenge. Routing: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintYesToken mint address (base58).
indicatorsNoIndicators to compute. Default: all.
resolutionNoChart resolution for indicator calculation.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesMCP content blocks returned to the caller.
isErrorNoTrue when the tool result represents an application-level error.

TDQS

B3/5.0
Behavior1/5

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

The description implies the tool is read-only (computes and returns values without side effects), but annotations specify readOnlyHint=false, creating a contradiction. The description does not disclose any other behavioral traits beyond pricing and routing, which are already indicated elsewhere. The contradiction overrides any positive disclosure, resulting in a score of 1.

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 split into two parts: a concise tool-specific sentence and a lengthy block of generic SAP MCP execution guidance. The guidance is necessary for paid tool usage but is not concise and repeats boilerplate found in other SAP tools. The tool-specific part is efficient, but the overall structure includes redundant information.

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 that an output schema exists (not shown), the description does not need to detail return values. It mentions data source (DexScreener) and efficiency gains. It lacks mention of data freshness or any prerequisites, but for a compute tool with good annotations and output schema, it is reasonably complete.

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?

Schema coverage is 100% with descriptions for all three parameters (mint, indicators, resolution). The description adds the list of indicator names but does not provide additional meaning beyond the schema (e.g., default behavior for missing indicators or resolution). Given full schema coverage, baseline 3 is appropriate.

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 computes specific technical indicators (RSI, EMA-20, EMA-50, MACD, Bollinger Bands, ATR) from DexScreener price data, with a specific verb ('Compute') and resource ('technical indicators from DexScreener price data'). It also mentions returning pre-calculated values with signals, distinguishing it from sibling tools that likely return raw OHLC data (e.g., sap_chart_ohlc).

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

Usage Guidelines2/5

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

The description lacks explicit guidance on when to use this tool versus alternatives (e.g., sap_chart_ohlc or coingecko_getOHLCV). It does not mention use cases, prerequisites, or when not to use it. The only guidance provided is about SAP MCP execution routing, which is generic and not specific to tool selection. This leaves the agent without clear direction on tool choice.

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

B3.2/5.0
Disambiguation4/5

Tools are organized by protocol prefix (e.g., adrena_, jupiter_, sap_) which helps distinguish domains. Within each protocol, tool names clearly indicate actions (e.g., openPosition, getQuote). However, with 360 tools, some cross-protocol overlaps (e.g., multiple swap tools) and many similar fetch tools in the sap_* family require careful reading of descriptions to disambiguate.

Naming Consistency4/5

Each protocol group follows a consistent naming convention (e.g., snake_case for adrena_, camelCase for 3land, sap_ prefix for SAP SDK tools). The mix of conventions across protocols is acceptable, though a uniform style would improve predictability. Minor inconsistency: hyphenated names like metaplex-nft_ vs underscores.

Tool Count2/5

360 tools is far too many for a well-scoped MCP server. This aggregates dozens of protocols and SAP-specific features, making navigation difficult. The server would benefit from being split into focused micro-servers (e.g., SAP identity, Jupiter DEX, NFT tools). The current count overwhelms the coherence of the set.

Completeness4/5

The tool set covers a vast range of Solana ecosystem activities: token operations, swaps, staking, NFT management, bridging, oracle data, identity registration, chat, escrow, subscriptions, and premium streaming. Major lifecycle operations are present, though some niche subdomains may have missing functions (e.g., detailed governance or lending management). Overall, it's comprehensive for the intended scope.