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

Annotations are all false, so the description carries the behavioral burden. It discloses that this is a paid operation, specifies the per-query cost (0.01 USDC), imposes a session limit (max 20 queries/session), and indicates it consumes prepaid funds, which aligns with readOnlyHint=false. It does not describe failure behavior or whether a receipt is needed, but the core consumption behavior is transparent.

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?

Three sentences deliver purpose, pricing, limits, and call sequence without redundancy. The most decision-relevant facts (paid access and free preview alternative) are front-loaded, and the sequence arrow is a compact way to convey prerequisite flow.

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?

For a 5-parameter tool with no output schema and minimal annotations, the description covers the core lifecycle, cost, and listing subject. It is missing detail on optional parameters and the exact result format, but the essential prerequisites and pricing are present, making it adequate for selection and basic 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?

Input schema coverage is only 40%; session_id and sandbox_receipt have descriptions, but k, query, and delivery_receipt do not. The description adds context that queries target fast-growing GitHub repositories, which helps interpret the query parameter, but it does not meaningfully explain k, delivery_receipt, or how to format the query.

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 clearly states a paid per-query access action against live data listings, names the specific listing type (ghtrend), and positions the tool as the final step in the open → fund → query sequence. It also distinguishes itself from data_preview by contrasting free first taste with paid access.

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 explicit sequencing guidance (data_session_open → data_session_fund → data_session_query) and points to data_preview as the free alternative, which tells an agent when this tool is appropriate. It does not explicitly state when not to use it, but the sequence and pricing make the intended flow clear.

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