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get_recent_tweets

Retrieve recent posts from tracked accounts with per-post metadata indicating market counting status. Use to monitor posting pace and verify counted tweets.

Instructions

Get the most recent captured posts for a tracked account, newest first, with per-post metadata including whether each post counts toward the active tweet-count markets. Use it to understand posting pace and to verify what is being counted. The free tier returns the latest 15 posts and ignores pagination; with a PRO key (POLYSTRIKE_API_KEY environment variable) limit can go up to 100 and offset paginates. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of posts to return, 1-100 (default 15). Values above 15 require a PRO key; the free tier caps at the latest 15.
offsetNoPagination offset, 0 or greater (default 0). PRO only; ignored on the free tier.
accountYesTracked account: 'elon' (Elon Musk on X), 'cruz' (Ted Cruz on X), or 'trump' (Donald Trump on Truth Social).
Behavior5/5

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

The description explicitly states 'Read-only' and details free-tier limits (15 posts, pagination ignored) and PRO key requirements for higher limits and pagination. It also mentions metadata content. No contradictions with missing annotations.

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 a single paragraph, starts with the main action, and every sentence adds value. No fluff, appropriate length for the complexity.

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?

Despite no output schema, the description explains output includes per-post metadata and its relevance to tweet-count markets. Tier differences are covered. Parameter descriptions in schema complement the description well. Complete for a read-only list tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds significant context: explains default limit 15, free-tier cap, PRO key for values >15, offset pagination, and clarifies account enum values. This goes well beyond the schema.

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 retrieves the most recent captured posts for a tracked account, newest first, with per-post metadata. It distinguishes from siblings which focus on predictions, markets, and other analytical tasks.

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 provides usage intent: 'understand posting pace and verify what is being counted.' It also explains tier differences (free vs. PRO) but does not explicitly mention when not to use the tool or name alternatives.

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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