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cURL from Akamai Edge

curl_from_edge

Fetch any URL from an Akamai edge server to inspect full HTTP response headers and body, revealing cache status, debug headers, and response timing for edge diagnostics.

Instructions

Fetches a URL from an Akamai edge server, returning full HTTP response headers (including Akamai debug/Pragma headers) and body. Useful for debugging what the edge is serving, cache status, and response timing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to fetch from the edge server.
edgeIpNoIP of the edge server to run from. Provide either this or edgeLocationId.
ipVersionNoIP version to use. Defaults to IPV4.
spoofEdgeIpNoIP of the edge server you want to serve traffic from.
edgeLocationIdNoEdge server location ID (from list_edge_locations). Provide either this or edgeIp.
requestHeadersNoCustom headers in "header: value" format. Akamai Pragma headers are included automatically.
runFromSiteShieldNoRun curl from a Site Shield map.
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does reveal that it returns full headers (including Akamai debug/Pragma headers) and body, but it omits details about side effects, redirects, timeouts, or permissions. This is adequate but has clear gaps for a network-fetch tool.

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 two sentences with no wasted words. It front-loads the action ('Fetches a URL from an Akamai edge server') and immediately follows with the output and use case. Every sentence contributes value.

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?

Given the 7 parameters, full schema coverage, and no output schema, the description covers the core behavior and return type. It mentions debugging use cases but does not explain error behavior or parameter selection strategies. However, the schema fills most gaps, and the description provides sufficient context for a fetch tool.

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?

The input schema covers 100% of parameters with descriptive text, so the baseline is 3. The description adds no parameter-specific details beyond mentioning 'Akamai debug/Pragma headers' which is relevant but not directly tied to a specific parameter. It relies on the schema to explain semantics, so it meets the baseline.

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 uses a specific verb ('Fetches') and resource ('a URL from an Akamai edge server'), and clearly states the return value ('full HTTP response headers... and body'). It distinguishes itself from sibling tools such as dig_from_edge and mtr_from_edge by focusing on HTTP fetch rather than network diagnostics/logs.

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

Usage Guidelines4/5

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

The description says 'Useful for debugging what the edge is serving, cache status, and response timing,' which provides clear context for when to use it. However, it does not explicitly name alternatives or state when not to use it, so it only partially addresses usage guidance compared to a 5.

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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