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Exposure Paths

exposure_paths
Read-onlyIdempotent

Rank exposure paths by risk score for given tenant and scan. Filter by minimum risk and limit results for security agent investigations.

Instructions

Return ranked ExposurePath JSON for headless security agents.

    This is the agent-native graph surface: Claude, Cursor, Codex,
    Windsurf, Cortex, and other MCP clients can request the same
    investigation objects used by the dashboard without scraping UI state.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tenant_idNoTenant ID for the graph snapshot. Defaults to 'default'.default
scan_idNoOptional graph scan ID. Omit to use the latest snapshot.
limitNoMaximum number of ranked exposure paths to return.
min_riskNoMinimum path risk score to include.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds context about being for headless agents but does not disclose additional behavioral traits beyond what annotations provide.

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 concise sentences. The first sentence states the core purpose, and the second provides context on audience and benefit. Every sentence earns its place.

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 presence of output schema and comprehensive annotations, the description adequately covers the tool's role. It could be slightly improved by explaining what 'ranked' means, but it is sufficient for agent decision-making.

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%, so baseline is 3. The description does not add parameter-level meaning beyond the schema's existing descriptions.

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 states a specific verb ('Return') and resource ('ranked ExposurePath JSON'), and explicitly targets 'headless security agents', clearly distinguishing it from sibling tools that deal with other security analyses.

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 implies usage for agent-native interactions without scraping UI, and lists specific AI clients. However, it lacks explicit guidance on when NOT to use it or how it compares to similar sibling tools like 'blast_radius' or 'context_graph'.

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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