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Cybersec Toolkit

Cybersec Toolkit

by 26zl
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

suggest_for_bounty

Read-onlyIdempotent

Recommend cybersecurity tools for a bug bounty target type, covering install status, methodology steps, common vulnerabilities, and quick wins.

Instructions

Suggest cybersecurity tools for a bug bounty target type.

Provides curated tool recommendations with installation status, methodology steps (starting with scope verification), common vulnerabilities, and quick wins for 7 target types: web_app, api, mobile_app, cloud, network, iot, llm.

Also accepts aliases: web/webapp (web_app), rest/graphql (api), android/ios/mobile (mobile_app), aws/azure/gcp/k8s (cloud), infra/infrastructure (network), firmware/embedded (iot).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "target_type": "<target_type>"
    },
    "name": "suggest_for_bounty"
  }
}

Input Schema

NameRequiredDescriptionDefault
target_typeYesType of bug bounty target (e.g. "web_app", "api", "cloud").

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so safety is covered. The description adds real behavioral value by disclosing what the response contains: curated tools with installation status, methodology steps starting with scope verification, common vulnerabilities, and quick wins.

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?

Front-loaded with the purpose in the first sentence, then supporting detail. The alias list is somewhat long but each entry maps useful input strings, so it earns its place; no filler sentences.

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?

An output schema exists so return values need not be explained, yet the description still sketches the response shape. Combined with the enum-free parameter being fully enumerated, the definition is complete enough for an agent to invoke correctly, missing only explicit sibling routing.

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?

Schema coverage is 100% but the schema has no enum for target_type; the description supplies the seven valid values (web_app, api, mobile_app, cloud, network, iot, llm) and the accepted aliases, which the schema alone does not convey. This meaningfully extends parameter semantics beyond the structured field.

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?

States a specific verb and resource ('Suggest cybersecurity tools') plus the scope ('for a bug bounty target type'), immediately distinguishing it from the sibling suggest_for_ctf. An agent can tell what this returns without opening the schema.

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 context of use is implied by 'bug bounty target type' and the enumerated target list, but there is no explicit when-to-use / when-not guidance and no routing to alternatives such as suggest_for_ctf or guided_assessment. Usage is inferable rather than stated.

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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