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DepthFeed

limitless_get_snapshots

Read-only

Historical L2 depth snapshots (time series) for a Limitless market by slug. Requires a paid plan; history gated by plan window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesLimitless market slug.
limitNoPage size (1–1000).
cursorNoOpaque pagination cursor from a previous response's pagination.next_cursor.
end_timeNoEnd of time as ms-epoch or ISO-8601. History is clamped to your plan's window.
start_timeNoStart of time as ms-epoch or ISO-8601. History is clamped to your plan's window.

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description adds minimal behavioral context beyond the paid-plan constraint and history window clamping. It does not contradict annotations, but it also does not enrich the safety or mutation profile significantly.

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, focused sentence that conveys the core purpose and a key constraint (paid plan). It avoids redundancy and is front-loaded with the action and resource, though it could benefit from a brief note on return format.

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

Completeness3/5

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

Given the absence of an output schema, the description does not explain the return structure (e.g., array of snapshots, pagination metadata). It also omits guidance on cursor usage. However, with openWorldHint and sibling tools with similar patterns, the description is not critically incomplete.

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?

All five parameters have full descriptions in the schema (100% coverage), so the description does not need to add much. It reinforces that history is clamped to the plan window but does not explain syntax, defaults, or interactions between parameters (e.g., how cursor and time filters combine).

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 explicitly states it retrieves 'Historical L2 depth snapshots (time series) for a Limitless market by slug,' clearly defining the verb (get) and resource (historical snapshots). It distinguishes from sibling tools like 'limitless_get_orderbook' (presumably current order book) and other platforms' snapshot tools, though it doesn't name them directly.

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 mentions a paid-plan requirement and plan-based history gating, which helps set expectations but does not explicitly guide when to use this tool versus alternatives (e.g., when current depth is needed vs. historical). It provides context but lacks explicit exclusions or comparisons to sibling tools.

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

A4.1/5.0
Disambiguation5/5

Each tool has a distinct purpose, clearly separated by venue prefix (kalshi_, limitless_, polymarket_) and action (get_orderbook, get_snapshots, search_markets). The screener and whoami tools are unique and not overlapping with any other tool.

Naming Consistency4/5

Most tools follow the venue_verb_noun pattern (e.g., kalshi_get_orderbook, polymarket_get_snapshots). However, polymarket_all_markets uses 'all' instead of a verb, and screener/whoami deviate entirely from the pattern, causing minor inconsistency.

Tool Count5/5

With 12 tools covering three venues plus cross-venue and session info, the count is well-scoped. Each tool serves a clear role without unnecessary bloat or deficiency.

Completeness4/5

The tool surface covers the core data retrieval operations (orderbook, snapshots, search, single market) for all venues. Missing are update/delete operations but those are outside the data provider scope. A minor gap is the lack of a dedicated 'get_market' for Kalshi and Limitless, though search_markets provides similar info.

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