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Translate Akamaized URL

translate_akamaized_url

Translate any Akamaized URL (ARL) into its component parts: CP code, serial number, TTL, origin server, and other cache key metadata. Ideal for Akamai edge diagnostics and debugging.

Instructions

Translates an Akamaized URL (ARL) into its component parts: CP code, serial number, TTL, origin server, and other cache key metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe fully qualified Akamaized URL (ARL) to translate.
Behavior3/5

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

No annotations are provided, so the description carries the full transparency burden. It discloses the transformation action and the type of output (component parts), which is valuable. However, it does not mention what happens with invalid URLs, whether the operation is read-only, or the exact format of the returned data, leaving some behavioral ambiguity.

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?

The description is a single, front-loaded sentence that conveys the action, target, and output. Every phrase earns its place, listing the specific components without unnecessary detail 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?

For a simple one-parameter tool with high schema coverage and no output schema, the description adequately explains the purpose and expected output. It lacks details on error handling or output structure, but those are less critical given the simplicity. Complete enough for an agent to invoke correctly in most cases.

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 coverage is 100% and the only parameter 'url' is described as 'The fully qualified Akamaized URL (ARL) to translate.' The tool description adds context about the components extracted but does not substantially enhance the parameter meaning beyond the schema. Baseline 3 is appropriate.

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 clearly states the verb 'translates' with a specific resource (Akamaized URL/ARL) and lists the output components (CP code, serial number, TTL, origin server, cache key metadata). This distinguishes it from sibling tools like verify_edge_ip or url_health_check which address different use cases.

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

Usage Guidelines3/5

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

The description implies when to use the tool (when an Akamaized URL needs to be decomposed) but provides no explicit guidance on when not to use it or which sibling tools to prefer. The context of the purpose makes the usage fairly clear, yet lacks explicit alternatives or exclusions.

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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