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Cgisclair29

Rapid7 Bulk Export MCP

by Cgisclair29

Purge Rapid7 Data

purge_rapid7_data
DestructiveIdempotent

Delete local Rapid7 vulnerability and tracking databases to free disk space or before handing off a machine. After purging, run a new export to query data again.

Instructions

Permanently delete all local Rapid7 data and tracking databases.

This removes:

  • The main vulnerability database (rapid7_bulk_export.db)

  • The export tracking database (rapid7_bulk_export_tracking.db)

  • Any associated WAL files

Use this when you are done with your analysis session, before handing off a machine, or to free disk space. After purging, you will need to run a new export to query data again.

Returns: Confirmation of purged data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.5.2

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare destructiveHint=true and idempotentHint=true, and the description reinforces and enriches this by naming the exact databases and WAL files that will be destroyed and noting that the action is 'permanent.' It clearly discloses the irreversible destructive behavior without contradicting the annotations.

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 tightly organized with a one-line summary, a bulleted list of affected files, a clear usage statement, and a return note. Every sentence adds useful information and there is no redundancy or filler.

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?

For a zero-parameter destructive tool with annotations covering destructiveness and idempotency, the description is complete: it names exactly what is deleted, says when to use it, warns about the need to re-export afterward, and states the return value. No critical context is missing.

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

Parameters4/5

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

The tool has zero parameters and the schema is empty, so there is nothing to document at the parameter level. The description instead clarifies that the operation acts on all local Rapid7 data, which is the only relevant 'scope' information an agent needs. Baseline 4 is appropriate for a no-parameter tool.

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 opens with a specific verb and resource: 'Permanently delete all local Rapid7 data and tracking databases.' It goes on to enumerate the exact files removed (rapid7_bulk_export.db, rapid7_bulk_export_tracking.db, WAL files), which clearly distinguishes it from the read/query/export sibling tools.

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

Usage Guidelines5/5

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

The description explicitly states when to use the tool: 'when you are done with your analysis session, before handing off a machine, or to free disk space.' It also explains the consequence—'After purging, you will need to run a new export to query data again'—which tells the agent the practical impact and when not to use it.

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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