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Get market orderbook

swop_get_orderbook
Read-only

Fetch the live CLOB orderbook (bids/asks) for one outcome token of a prediction market. Token ids come from the clobTokenIds field of market results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenIdYesCLOB token id for one outcome

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context: the orderbook is 'live,' contains bids/asks, and is scoped to a single outcome token. No contradiction with annotations.

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?

Two sentences, no filler. The primary purpose is front-loaded, and the second sentence provides necessary sourcing guidance. Every phrase contributes information the agent needs.

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?

For a single-parameter read-only tool with no output schema, the description covers the essential invocation details and the core return concept (bids/asks). It does not detail orderbook level structure, but the market-standard meaning is reasonably inferred.

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 schema already documents tokenId as a CLOB token id, but the description adds meaning by specifying the token represents one outcome and, crucially, that the id comes from the clobTokenIds field of market results. This helps the agent source valid values 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 states a specific verb ('Fetch') and resource ('CLOB orderbook (bids/asks)') for one outcome token, clearly distinguishing it from price or quote siblings like swop_get_prices and swop_get_swap_quote. The scope is precise and immediately understandable.

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 gives a clear prerequisite for usage: token IDs come from the 'clobTokenIds field of market results.' This tells the agent when in the workflow this tool applies, though it does not explicitly name alternatives or exclusion conditions.

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation5/5

Every tool targets a distinct resource and action: search_markets is for discovery while get_event_markets is for a single event's full detail, and lookup_identity/search_identities, get_prices/get_price_history, and send/pay_x402_link are all clearly separated. There is no realistic pair of tools an agent would struggle to choose between.

Naming Consistency5/5

All tools follow a consistent snake_case, swop_-prefixed, verb-first pattern such as get_*, search_*, create_*, update_*, send, and pay_*. Even slightly longer names like check_predictions_access stay within the same predictable structure.

Tool Count4/5

21 tools is on the higher side, but the server covers several distinct clusters: prediction-market data, account/wallet info, identity resolution, SmartSite commerce, and payments. Each tool has a clear role, so the count is slightly over the ideal range but still reasonable for the apparent scope.

Completeness3/5

The market data and payment send flows are fairly complete, but lifecycle operations are missing: products can be created and listed but not updated or deleted, swaps are quote-only, and there is no prediction-market order execution tool. These are notable gaps, though they do not block the core send/pay and market-data workflows.