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Raleose

dns-customer-mcp

by Raleose

Batch DNS product details

dns_products_batch
Read-onlyIdempotent

Fetch 1–40 DNS Shop product cards in a single call, including location and stock for each.

Instructions

Fetch 1–40 product cards in one call (preferred over parallel dns_product_details). Each row includes location and stock.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
richNoAlias for compact:false — return full payload
compactNoDefault true: slim fields (saves context). false or rich:true returns full nested payloads.
productsYes1–40 product ids or URLs
Behavior4/5

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

Annotations already cover read-only, open-world, and idempotent behavior. The description adds meaningful information beyond that by stating that each returned row includes location and stock, which is especially valuable given there is no output schema. It doesn't detail error behavior for invalid IDs, but the annotation coverage lowers the burden.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two compact sentences, front-loaded with the action and differentiator. Every clause earns its place; there is no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description supplies the batch size, the preferred-use case, and key return fields, while the schema fully documents the parameters. It could be more explicit about partial failure behavior when one ID in a batch is invalid, but for selecting and invoking the tool it is largely complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all three parameters are already documented. The description mostly restates the 1–40 cardinality that the schema already declares, and it adds no new parameter-level meaning beyond that.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Fetch'), a clear resource ('product cards'), and a precise range ('1–40'). It also distinguishes itself from dns_product_details, which is the relevant sibling for single-product lookups.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly says this tool is 'preferred over parallel dns_product_details', telling the agent when to choose the batch tool over the obvious alternative. The implication to use dns_product_details for a single product is clear.

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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