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get_orderbook

Network orderbook. Full orderbook with rate levels, exact per-deposit availability, intent bounds and payment pairs, 24h activity, global stats, FX mid-rates, and DRM-aware metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
takerNoOptional taker wallet address. Without include_gated, returns only restricted deposit/payment-method tuples that wallet can access. Default results without a taker include public liquidity only.
currencyNoFilter by fiat currency code (e.g. USD, GBP, EUR). Without filter, returns top 6 currencies by liquidity.
min_sizeNoMinimum USD liquidity per orderbook level (default: 50).
platformNoFilter by payment platform.
include_gatedNoSet to 1 to include restricted deposits in the book. Payment pairs report whether every taker can use the tuple; protected tuples may still require stake. Combined with taker, the payload adds method-scoped taker_access instead of scoping the book. Default (omitted) keeps the public-only book unchanged.

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose the nature of the payload (full orderbook with multiple data facets) and mentions 'DRM-aware metadata', which hints at permission-related behavior. However, it omits operational details such as authentication requirements, rate limits, pagination, or the shape of the response. For a read-only tool this is acceptable but not thorough; it adds value with the 'DRM-aware' note but lacks completeness.

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 a single dense sentence that front-loads the resource name ('Network orderbook.') followed by a list of contents. It is concise with no filler, though the list runs together and could be more readable with bullet points. Every phrase adds meaning, so it earns a 4 for efficiency despite minor structural rigidity.

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 the tool has five optional parameters, no output schema, and a complex payload, the description is reasonably complete. It enumerates the major components an agent would expect (rate levels, per-deposit availability, activity, stats, FX rates, DRM metadata), which provides enough context for a caller. However, without an output schema, it does not describe the response structure or how these components are organized, which is a slight gap for a tool of this complexity.

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 documents all five parameters with detailed descriptions (e.g., min_size default, currency filtering, include_gated behavior). The description itself adds no additional parameter semantics beyond what the schema already provides. Since schema coverage is 100%, the description does not need to compensate, so a 3 is appropriate — it neither enhances nor detracts from the schema's clarity.

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 identifies the tool as the 'Network orderbook' and enumerates its contents (rate levels, per-deposit availability, intent bounds, payment pairs, etc.). It distinguishes itself from other data tools by focusing on orderbook depth, but does not explicitly contrast with siblings like get_market_summary or list_currencies, so it loses a point for lack of explicit differentiation.

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 implies usage for orderbook queries by listing what it returns, but provides no explicit guidance on when to use it versus alternatives. There is no mention of scenarios where a different tool would be more appropriate, nor does it state prerequisites or caveats like requiring a taker for gated data beyond what the schema explains. It is neither misleading nor entirely absent, but the onus falls on the agent to infer purpose from the contents.

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

C2.8/5.0
Disambiguation3/5

Most get_* and list_* tools target distinct domain entities, but several high-level analytics endpoints overlap in purpose (get_analytics_summary, get_protocol_overview, get_market_summary, get_timeseries, get_leaderboard), and pairs like get_deposit/get_deposit_context and get_vault/get_vault_analytics create close boundaries. The descriptions clarify the differences, but an agent would need to read carefully to avoid misselection.

Naming Consistency5/5

The tool set follows a strong verb_noun pattern: get_ for single-entity or detail views, list_ for collections, plus explicit action endpoints like export_trade_log, plan_routes, and search_explorer. All names are snake_case and predictable, with no mixing of conventions.

Tool Count3/5

28 tools is on the heavy side for an MCP server, even for a broad analytics domain. Most tools map to real entities, but the surface is padded by overlapping summary/analytics endpoints and separate detail, context, and analytics variants for the same resources.

Completeness4/5

The server provides broad read-only coverage of the protocol domain: deposits, intents, makers, takers, vaults, delegates, verifiers, platforms, integrators, orderbook, routes, activity, and search. Minor gaps such as no list_vaults or list_integrators are workable via search/get endpoints, and mutating operations appear out of scope for an analytics-focused server.

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