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

No annotations exist, so the description carries the full behavioral burden, yet it discloses almost nothing: no freshness/refresh cadence for 'live', no auth requirements, no rate limits, no behavior when a market is missing on one venue, and no indication of what 'normalized' actually reconciles. 'In one response' hints at single-call aggregation, which is the one useful trait conveyed.

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?

A single front-loaded sentence with no filler; the venue names come first and the returned fields are listed compactly. It is dense rather than wasteful, though the field list could arguably be trimmed since there is no output schema to lean on.

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?

Because there is no output schema, listing the returned fields (YES/NO prices, spreads, volume, liquidity) is genuinely valuable. However, with no annotations and 0% parameter coverage, gaps remain around pagination, default platform scope, and freshness — an agent could call it but not confidently predict the result shape per venue.

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?

Schema description coverage is 0%, so the description must explain both parameters and does not — 'limit' (capped at 100) and 'platform' are never referenced. Naming Polymarket and Kalshi loosely implies platform selection, but default behavior (both venues, default limit) is undocumented.

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 resource ('normalized live odds') and names the two venues covered, which separates it from single-venue siblings like kalshi_markets or polymarket_market_scan. It doesn't explicitly contrast itself with cross_platform_arb_scan or trending_markets, but the aggregation framing is enough to place it.

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?

There is no when-to-use or when-not-to-use guidance and no mention of alternatives such as kalshi_markets for a single venue. The agent must infer the use case entirely from the noun phrase 'live odds'.

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