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

No annotations are provided, so the description carries the full burden. It does disclose useful traits: versioned schema (akari.feed.v1), a free 3-row preview path, and a schema URL, implying a read-only data fetch. However, it omits cost/rate-limit details, digest size, and freshness/latency of the signals, which matter for a trading feed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded in the first clause, followed by the source list, then endpoints, then the usage rule — a sensible ordering. It is somewhat dense with marketing-flavored phrases ('armed Polymarket in-play sports betting picks'), but no sentence is genuinely dispensable.

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

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

Given a zero-parameter, annotation-free, output-schema-free tool, the description covers what comes back (one versioned JSON digest), what it combines, and where to find the exact schema — everything an agent needs to decide and call correctly.

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

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

The tool takes zero parameters, so the baseline is 4; there is nothing for the description to disambiguate. The mention of the preview endpoint and schema path is bonus context, not required parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Consolidated crypto trading signal feed') and enumerates exactly what is merged: Hyperliquid funding+momentum signals, Reddit sentiment bias, meme coin radar, and Polymarket in-play picks. This makes it unmistakably the aggregated counterpart to the single-source siblings like akari_reddit_sentiment and akari_meme_radar.

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

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

"Use this when you want one cheap call instead of five" gives a clear selection condition against the per-source sibling tools. It stops short of explicit exclusions (e.g., when to prefer a single-source tool for deeper detail), so it is strong but not fully symmetric.

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