Validate Routing
validate_routingUS ABA bank routing number (9-digit) checksum validation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| payload | Yes |
validate_routingUS ABA bank routing number (9-digit) checksum validation.
| Name | Required | Description | Default |
|---|---|---|---|
| payload | Yes |
Changes observed during successful MCP inspections.
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 a meaningful behavioral detail — that this is a 9-digit checksum check rather than an authoritative bank-existence lookup — which helps an agent interpret results. However, it says nothing about the return format (boolean vs. structured verdict), permissions, or failure behavior, leaving real 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?
A single front-loaded sentence with no wasted words; the resource and method are stated immediately. It is terse to the point of omitting useful detail, but as raw structure 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?
For a one-parameter validator this is minimally sufficient to invoke correctly. With no output schema and no annotations, the description should ideally state what a result looks like (pass/fail shape) and that validation is syntactic only — those omissions leave the agent guessing about the return value.
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%, but the schema already encodes the essential semantics via the ^[0-9]{9}$ pattern on routing_number. The description's '(9-digit)' restates that constraint rather than adding new meaning, so with a single well-constrained nested parameter a baseline 3 is fair.
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 names a specific verb (checksum validation) and resource (US ABA bank routing number), which cleanly separates it from the sibling validators (validate_iban, validate_isbn, validate_luhn, etc.). It is clear what the tool does, though it never explicitly contrasts itself with the nearby alternatives.
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?
Usage is implied — an agent would call this to check a routing number — but there is no explicit when-to-use, when-not-to-use, or pointer to sibling validators for other identifier types. Nothing is misleading, but nothing actively routes the agent either.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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