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Assess hackability

assess_hackability
Read-onlyIdempotent

Look up a device by id, exact name or substring and return hackability, brick risk, firmware links, curated firmware playbooks, community size, build page and agent platform support. Input: device_name 1-200 chars.

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": {
      "device_name": "<device_name>"
    },
    "name": "assess_hackability"
  }
}

Input Schema

NameRequiredDescriptionDefault
device_nameYesDevice name or id, 1-200 characters.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds the matching modes (id, exact name, substring) that the annotations do not, but stays silent on what happens when a substring matches several devices or when nothing matches — the main behavioral risk for this lookup.

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 action and the full return payload in one sentence, which is efficient. The trailing 'Input: device_name 1-200 chars' restates the schema and could be dropped without loss.

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?

With an output schema present there is no need to explain return values in detail, and the annotations carry the safety profile, so the description is close to complete for a one-parameter lookup. The gap is the unstated behavior for substring collisions and no-match cases.

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 100% and the description only repeats the 1-200 character bound. It does add one piece of meaning beyond the schema ('id, exact name or substring'), which is genuine but not expanded with matching rules or ambiguity behavior.

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 names a specific verb (look up) and resource (a device) and enumerates exactly what comes back: hackability, brick risk, firmware links, playbooks, community size, build page, platform support. That makes it distinguishable from siblings like find_firmware_playbooks or check_firmware_compatibility, which are narrower lookups.

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?

Usage is only implied: the breadth of the returned payload suggests this is the entry point before narrower siblings, but the description never says 'use this first' or when to prefer get_firmware_playbook, check_firmware_compatibility or get_build_plan. No exclusions or prerequisites are 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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