Skip to main content
Glama

Crawlora MCP

kalshi_trades

Read-only

Returns normalized recent Kalshi market trades from credential-free public market-data JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoRows to return, default 25, max 200.
cursorNoPagination cursor from a previous Kalshi response.
max_tsNoOptional maximum created Unix timestamp in seconds.
min_tsNoOptional minimum created Unix timestamp in seconds.
tickerNoOptional Kalshi market ticker filter.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
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 safety profile is covered. The description usefully adds that the source is credential-free public JSON and that results are 'normalized', but says nothing about rate limits, pagination behavior, or freshness/latency of 'recent'.

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?

A single front-loaded sentence with no wasted words. It is efficient, though it is arguably too terse given the number of sibling Kalshi tools it must be distinguished from.

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?

An output schema exists, so return values need no explanation, and the annotations carry the safety profile. However, for a listing tool with several near-sibling trades/history tools, the description does not do enough to position it, leaving a real gap.

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?

Schema description coverage is 100%, so all five parameters (limit, cursor, max_ts, min_ts, ticker) are already documented in the schema. The description adds no format or semantics beyond that, so the baseline 3 is appropriate.

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?

States a specific verb (Returns) and resource (normalized recent Kalshi market trades) plus the data source (credential-free public market-data JSON). The word 'recent' distinguishes it in spirit from kalshi_historical_trades, but no sibling is named explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use or when-not-to-use guidance, and no alternative is named. The 'recent' qualifier hints at a temporal scope but the agent is left to infer whether kalshi_historical_trades is the better fit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources