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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals that the snapshot is timestamped, provenance-bearing, and costs 0.005 USDC, which is useful context. But it does not disclose side effects, data-source behavior, failure modes, or what the returned snapshot structure is, leaving major behavioral gaps.

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?

The description is a single concise sentence that front-loads the core concept and ends with the cost. It contains no filler words. It loses one point because it prioritizes compactness over including a verb and parameter linkage, but structurally it is efficient.

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?

With 3 parameters, 0% schema coverage, no annotations, and no output schema, the description needs to carry substantial weight. It does not explain how to call the tool, what the output looks like, or what the required parameters mean. The brief noun phrase and price are insufficient for correct invocation.

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 compensate by explaining the three parameters. Instead, it only loosely maps to the idea of market data and provenance and never mentions source_urls, subject, or expected_fields. The required source_urls parameter is completely unexplained, leaving an agent without enough information to fill it correctly.

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?

The description says "Timestamped public market-data snapshot with provenance; 0.005 USDC." This names a specific resource and adds distinguishing attributes (timestamped, provenance, cost), which separates it from many siblings. However, it lacks a verb — it never states explicitly what the tool does with the snapshot — so it stops just short of a full purpose statement.

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?

The description gives no guidance on when to use this tool versus alternatives. It implies a paid public-data retrieval context with the cost note, but it does not state when to prefer this over sibling tools like live_data_freshness or source_backed_search, nor any conditions or exclusions.

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