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snowsignals

compose_phases

Read-only

Get phases for several coins and timeframes in one paid call. Set kind to 'boundary' for the settled last-closed-bar reading or 'updates' for the still-forming one. The cost scales with how many readings come back, which is your coins times your timeframes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tfsYes
kindYes'boundary' = the settled reading from the last closed bar; 'updates' = the live reading still forming in the current bar.
currenciesYes

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true; the description adds a useful cost model ('cost scales with how many readings come back'), a notable behavioral trait for a paid endpoint. It also clarifies the two data-freshness modes (last closed bar vs forming bar). No contradiction with the readOnly annotation.

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?

Three sentences with no filler: the main purpose is front-loaded, kind semantics are grouped in the second sentence, and the cost caveat is last. Every sentence adds value.

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?

With three required parameters and no output schema, the description covers the main invocation concerns: what to pass, what the modes mean, and that cost varies. It lacks an explicit return-shape note, but the term 'phases' and the sibling tools give enough context for selecting and calling the tool.

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 low (33%), so the description carries the burden for currencies and tfs. It maps 'coins' to currencies and 'timeframes' to tfs, and explains the kind enum values. It does not specify currency string formats or limits, but the schema already shows they are string arrays.

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 and resource: 'Get phases for several coins and timeframes in one paid call.' It clearly distinguishes itself from likely sibling get_phase by emphasizing the batch/plural nature ('several coins and timeframes') and the paid-call model.

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 explicit context for when to use this tool: when multiple coins/timeframes are needed in one paid call. It also explains the kind modes, which guides correct invocation. It does not explicitly name get_phase as the single-item alternative, but the contrast is strongly implied and the cost-scaling note helps with batching decisions.

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

A4.4/5.0
Disambiguation5/5

Each tool has a distinct role: account/billing tools (balance, usage, notifications, deposit poll) are clearly separated from market-data tools (single phase, batch phases, phase metadata, phase stats). Even get_phase and compose_phases are differentiated by single-coin/single-timeframe vs multi-coin/multi-timeframe, and the descriptions make that boundary explicit.

Naming Consistency4/5

Most tools follow a get_ or verb_noun pattern (get_balance, get_phase, get_usage, compose_phases, deposit_poll), but 'phase_resolution_stats' breaks the pattern by lacking a verb, and 'compose_phases' vs 'get_phase' uses different verbs for closely related operations. The naming is still readable and predictable overall.

Tool Count5/5

Eight tools is well-scoped for this server: four handle the paid signal-reading workflow and four handle account/billing support around it. There are no redundant or throwaway tools, and each one earns its place.

Completeness5/5

The server covers the full workflow: discover what phases exist and pricing (list_phase_meta), get current readings (get_phase/compose_phases), interpret them (phase_resolution_stats), and manage the prepaid account (get_balance, get_usage, get_notifications, deposit_poll). No obvious dead ends or missing operations for the stated purpose.

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