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Get volatility surface file link (GET /surface)

get_surface_file
Read-onlyIdempotent

Return a time-limited download URL for a single volatility surface file. Use list_market_data (md_type=surface) first to get the exact slug filename.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesDate in YYYY-MM-DD format.
slugYesExact filename from list_market_data, including extension.
tickerYesTicker, e.g. btc.
expiresNoURL lifetime in seconds (default 900).
exchangeYesVenue, e.g. deribit or binance.
timeframeNoTimeframe, if the venue stores one.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNo
slugNo
expires_inNo
download_urlNo

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

The description adds behavioral detail beyond the readOnly/idempotent annotations by noting that the returned URL is time-limited and that a single surface file is returned. It does not exhaustively describe all error or expiry behaviors, but the annotations already cover side-effect transparency.

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 two concise sentences with no unnecessary wording. It front-loads the primary purpose and then gives a single actionable prerequisite.

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?

The description is sufficient for an agent to understand what the tool does, what input context is needed (exact slug from list_market_data), and what kind of output to expect (time-limited URL). With an output schema present, no further return-value explanation is necessary.

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?

All parameters already have descriptive schema entries, and the description adds extra practical guidance for the slug parameter via list_market_data. This is a useful supplement to the schema, though the meaning of optional parameters like expires and timeframe is left to their existing descriptions.

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 returns a time-limited download URL for a single volatility surface file, using a specific verb and resource. It also distinguishes this from the broader data-listing workflow by instructing users to call list_market_data first for the correct slug.

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 clear usage context by directing users to list_market_data (md_type=surface) before calling this tool. It does not explicitly contrast it with sibling tools like get_download_url, but the specialization to volatility surface files makes the intended use clear.

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

A4.7/5.0
Disambiguation5/5

Each tool targets a distinct purpose: four file download tools are differentiated by data type (candles, orderbook, surface, trades), with a generic fallback for exact keys. list_market_data handles browsing, and profile/subscription tools are clearly separate.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern: get_* for retrieval actions and list_* for browsing. The naming is uniform and predictable, with no mixing of conventions.

Tool Count5/5

8 tools is well-scoped for a market data server covering file downloads, catalog browsing, and user account details. Each tool serves a clear role without redundancy or bloat.

Completeness5/5

The tool surface fully covers the domain: users can browse the entire catalog hierarchically and download every file type via dedicated tools, with a generic fallback. Account and subscription info are also included. No obvious gaps exist for the stated purpose.

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