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predict_history

PAID ($0.02/call). 24h odds history for one tracked Polymarket market: [ts, yesUsd, noUsd] points sampled ~1/min into a normalized series — one call, no auth juggling. An untracked market is an uncharged 404. Call once WITHOUT x402_payment to receive the x402 payment requirements (an accepts array); pay one of them with any x402 client/wallet, then call again with x402_payment set to the base64 X-PAYMENT payload. You are only charged when a result actually comes back.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marketIdYesPolymarket market id (conditionId, from predict_markets)
x402_paymentNobase64 X-PAYMENT payload

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It transparently discloses the cost ($0.02/call), the 404 behavior for untracked markets, the payment requirement, and the fact that charging only occurs on successful results. This is substantial behavioral context that goes beyond what the schema provides. It could be more explicit about rate limits or error handling, but the payment and cost transparency is excellent.

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 dense but well-structured: it front-loads the paid nature and core function, then details the data format and workflow. Every sentence adds critical information, and the payment flow is explained concisely but completely. No wasted words.

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

Completeness5/5

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

Given the complexity of the payment workflow and lack of annotations, the description is remarkably complete. It explains the cost, the data format, the error case (404), the two-call payment process, and the charging behavior. There's no output schema, but the description explicitly defines the return format ([ts, yesUsd, noUsd]). This covers everything an agent needs to call this tool correctly.

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 description coverage is 100%, so the schema already documents both parameters. However, the description adds critical meaning: it explains that marketId comes from predict_markets, and it details the exact format and usage of x402_payment (base64 X-PAYMENT payload). This adds value beyond the schema's basic descriptions, particularly for the payment workflow.

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 fetches 24h odds history for a tracked Polymarket market, specifying the exact data format and sampling rate. It is distinct from siblings like predict_markets (which likely provides market metadata) and clearly describes its unique function.

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 use this tool (for historical odds data) and implicitly differentiates from siblings (e.g., predict_markets for other data). It also provides crucial usage instructions for the x402 payment workflow, including the two-call process. However, it doesn't explicitly mention when not to use it or name direct alternatives, but the payment flow guidance is strong.

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

A3.9/5.0
Disambiguation2/5

Several tools target the same token-risk domain: token_risk_verdict, token_risk_deep, token_report, and scan_token all surface authority/holder/safety signals, and token_report vs token_risk_deep have nearly overlapping full-history/report scopes. An agent choosing between the cheap verdict, the deep history version, and the full due-diligence report can easily mis-select.

Naming Consistency3/5

All names are lowercase snake_case, but the pattern is split roughly half between verb-led terms and half between noun/resource terms: predict_markets and scan_token vs token_risk_deep and radar_alerts. This is readable, but it is not a consistent verb_noun grammar across the tool set.

Tool Count4/5

Fifteen tools is at the upper edge of a reasonable tool scope, and the catalog spans token risk, launches, prediction markets, swaps, wallets, and x402 billing. It is not overly large, but having three separate token-reporting tools makes the set feel slightly more redundant than its count alone suggests.

Completeness4/5

The server covers its stated domain fairly well: x402 pricing, API key purchase, free token scans, paid deep reports, wallet exposure, swap preview/execution, and prediction-market data are all represented. The main gap is API-key lifecycle management such as checking status or remaining calls, but no core investigation workflow is left as a dead end.

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