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scan_confluence

Scan Confluence pages for leaked secrets by providing server URL, email, API key, and CQL scope. Optionally validate findings with AI analysis.

Instructions

Scan Confluence pages for leaked secrets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serverYesConfluence server URL e.g. https://company.atlassian.net
emailYesConfluence user email
api_keyYesConfluence API token
scopeNoCQL query e.g. cql:space=SEC and type=page
report_formatNon0s1
show_matched_secret_on_logsNoShow matched secret values in reports and logs (default: false)
ai_analysisNoQueue async AI credential validation after the scan (requires n0s1 Pro)
n0s1_api_keyNon0s1 API key; overrides the N0S1_TOKEN env var
Behavior2/5

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

No annotations provided; description only says 'scan', not disclosing whether it's read-only, destructive, or any side effects. Lacks details on what happens during the scan.

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

Conciseness4/5

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

Single sentence is concise and front-loaded. Minimal waste, but could benefit from additional structure for readability.

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

Completeness2/5

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

With 8 parameters, no output schema, and no annotations, the description is too sparse. Fails to explain scan behavior, result formats, or limitations.

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 88%, so parameters are mostly self-explanatory. Description adds no extra meaning beyond schema, which is acceptable as baseline.

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

Purpose4/5

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

Description clearly states verb 'scan', resource 'Confluence pages', and goal 'for leaked secrets'. It distinguishes from sibling scan tools by specifying the platform, though could be more precise.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs. alternatives (e.g., scan_github, scan_gitlab). No context on prerequisites or conditions for use.

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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