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IAZENT

HuntX

Official
by IAZENT

http_replay

Replay a previously logged HTTP request with optional overrides for URL, method, headers, or body. Control testing scope with include/exclude patterns to validate security findings.

Instructions

Replay a previously logged request with optional modifications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
target_idNoOverride target_id if needed.
request_idYesID of the logged request to replay.
modificationsNoDict overriding url, method, headers, or body.
scope_excludeNoOptional scope denylist patterns.
scope_includeNoOptional scope allowlist patterns.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only says 'replay' without explaining that this likely sends a real network request, whether it mutates state on the target, what side effects occur, or how modifications affect the outgoing request. This is a significant transparency gap for a tool that may issue live HTTP traffic.

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, well-structured sentence that front-loads the primary action and immediately communicates the key feature (optional modifications). Every word contributes to the tool's understanding, with no filler or repetition.

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

Completeness3/5

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

The tool has five parameters and an output schema, and the schema descriptions cover parameter meanings well. However, the description does not mention how a request_id is obtained or how replay relates to logging tools like http_list/http_search, and it lacks important behavioral context around live request execution. The description is adequate but leaves clear contextual gaps for an agent deciding to use it.

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% since all five parameters have individual descriptions (request_id, target_id, modifications, scope_include, scope_exclude). The description adds only the phrase 'optional modifications,' which the schema already captures. It provides no additional semantic meaning beyond the structured metadata, so a baseline score of 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 uses a specific verb ('Replay') with a resource ('previously logged request') and a distinct modifier ('with optional modifications'). This clearly distinguishes it from sibling tools like http_send or http_get, which send fresh requests rather than replaying logged ones.

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 phrase 'previously logged request' implies this tool is for reusing an earlier captured request, but there is no explicit guidance on when to choose this over alternatives like http_search, http_list, or http_send. It does not provide exclusions or mention a clear decision process, so usage context is only implied.

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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