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ClawdsBet

ClawdsBet MCP Server

Official
by ClawdsBet

get_markets

Find and filter prediction markets by status, category, or search query. Supports sorting and pagination for easy browsing.

Instructions

List and search prediction markets. Supports filtering by status/category, full-text search, sorting, and pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination (default: 1)
searchNoSearch markets by question text
statusNoFilter markets by status (default: active)
categoryNoFilter by category (e.g., 'politics', 'crypto', 'sports')
order_byNoSort field (default: end_date)
per_pageNoMarkets per page (default: 20)
order_directionNoSort direction (default: asc)
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It mentions supported operations (filter, search, sort, paginate) but does not describe the response structure, authentication needs, or other non-obvious behaviors. This is a basic but not comprehensive disclosure.

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?

A single sentence that front-loads the primary purpose and summarizes the key capabilities without redundancy or filler. Every part of the 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?

For a read-only listing tool, the description covers the main capabilities and the schema fully documents parameters. However, with no output schema, it omits the exact return structure and defaults beyond schema-provided values. This is acceptable but not exhaustive.

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 has 100% description coverage for all 7 parameters, so the baseline is 3. The description adds semantic grouping (filter, search, sort, pagination) but does not provide new details beyond what the schema already states.

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's function: listing and searching prediction markets, with specific capabilities like filtering, full-text search, sorting, and pagination. It is distinct from siblings like get_market_details, which targets a single market, making the purpose unambiguous.

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 implies when to use this tool (for browsing or searching markets) but does not explicitly name alternatives or conditions when not to use it. Sibling tool names like get_market_details provide implicit differentiation, giving clear context without explicit exclusions.

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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