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

With no annotations, the description carries the full behavioral burden. It discloses that it uses free public APIs (implying no auth but likely rate limits and latency), yet it never states whether 'meet a minimum amount' means a single transfer or the sum of transfers, gives no rate-limit or latency expectations, and does not mention that results depend on third-party indexer coverage.

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?

One sentence, front-loaded with the operation and scoped by the chain list at the end. Every clause carries information; nothing is padding.

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?

There is no output schema and no annotations, so the description is the only source of behavioral information. It omits what the response looks like and, critically, whether the minimum-amount test aggregates transfers or tests each transfer individually — a core ambiguity for a payment-verification tool with four parameters.

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 only 25% (only since_ms is documented in the schema). The description compensates for chain and min_amount by listing the four supported chains and restating the minimum-amount concept, but it adds no syntax or semantics for address or since_ms, leaving half the parameters thin.

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 gives a specific verb ('Check') and a precise resource ('whether USDT transfers to an address meet a minimum amount') scoped to four named chains. It is clearly distinguishable from the sibling validate_address, which validates an address rather than a payment, though it doesn't name that sibling explicitly.

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 implies when to use it (verifying a USDT payment reached an address) and notes the free-public-API context, but gives no explicit when-not conditions, no prerequisites, and no routing to validate_address for address-format concerns.

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

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

With no annotations, the description carries the full behavioral burden. 'Basic format validation' usefully sets the expectation that deeper checks are excluded, but the description says nothing about what is returned (boolean, error, normalized address) or how invalid input is surfaced, which matters given there is no output schema.

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 wasted words, and the supported-chain list is packed into the same clause rather than a separate sentence. It is efficient, though it stops short of containing enough information for full self-sufficiency.

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 two-parameter tool with no annotations and no output schema, the description should at minimum hint at the return value and per-chain address expectations. It covers supported chains but leaves return semantics and failure behavior entirely unaddressed.

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 schema documents neither parameter. The description partially compensates by listing the accepted chain values, effectively documenting the 'chain' parameter's expected domain, but it says nothing about the 'address' parameter's expected format per chain.

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 and resource ('validate a wallet address') and enumerates supported chains (tron, bsc, ethereum, polygon, solana), so the agent knows exactly what the tool covers. It does not name or distinguish itself from the sibling check_usdt_payment, but the purpose itself is unambiguous.

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 word 'basic' implies this is only a format check rather than an on-chain or checksum verification, which is a mild scope signal. However, there is no explicit when-to-use guidance, no statement of when NOT to use it, and no reference to the sibling tool as an alternative.

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