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callback_check

Check if callbacks matching an identifier have been received via HTTP or DNS to confirm payload execution.

Instructions

Check if any callbacks matching an identifier have been received.

Searches HTTP paths and DNS query names for the given substring. Useful after injecting a payload to see if the target called back.

Args: identifier: Substring to match in the request path or DNS query name. Empty string matches all callbacks. since_minutes: Only check callbacks from the last N minutes (default 60).

Returns: Dict with found status, match count, and matching entries.

Example: callback_check(identifier='ssrf-test1') callback_check(identifier='xxe', since_minutes=5)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifierNo
since_minutesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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 discloses that the tool searches both HTTP paths and DNS query names, explains parameter behavior (empty string matches all), and mentions the default time window. It does not cover rate limits or auth, but as a read-only check, this is acceptable.

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 well-structured with a brief intro, clear parameter explanations, return format, and examples. Every sentence adds value without redundancy.

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

Completeness5/5

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

Given the tool's simplicity and the presence of an output schema (not shown but noted), the description is complete. It explains purpose, parameters, return structure, and provides examples, leaving no ambiguity.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by explaining the 'identifier' parameter as a substring to match and 'since_minutes' as the time window. It also includes practical examples demonstrating usage.

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 tool checks if callbacks matching an identifier have been received, and specifies it searches HTTP paths and DNS query names. It distinguishes from siblings like callback_list and callback_latest by focusing on matching specific identifiers.

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 explicitly says 'Useful after injecting a payload to see if the target called back,' providing a clear use case. While it doesn't mention alternatives, the context is sufficient for selection among related tools.

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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