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Assess hackability

assess_hackability

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.

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

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden, and it does communicate that this is a read-style lookup whose output spans several derived attributes. However it says nothing about permission/auth requirements, what happens when a substring matches multiple devices, or whether results are cached — genuine behavioral gaps for an identifier-resolution tool.

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?

The core sentence is dense and front-loaded with the lookup action followed by the payoff fields. The trailing 'Input: `device_name` 1-200 chars.' line is pure duplication of the schema and earns no place.

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

Completeness3/5

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

An output schema exists, so the return-value enumeration is technically redundant, and the tool is low-complexity with a single required parameter. What is missing is routing guidance against the many sibling tools that expose the same underlying data; for a one-param lookup the description is adequate but not self-sufficient.

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 schema already documents device_name with length bounds, so the baseline is 3. The description adds one genuinely new detail — that substring matching is allowed, not just exact names/ids — but otherwise restates the schema's '1-200 chars' constraint verbatim.

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?

States a specific verb and resource ('look up a device by id, exact name or substring') and enumerates the returned artifacts (hackability, brick risk, firmware links, playbooks, community size, build page, platform support). This is clear, but it never names the sibling tools it overlaps with (get_build_plan, find_firmware_playbooks), so an agent gets no explicit disambiguation from those tools.

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?

There is no when-to-use guidance and no alternatives mentioned, despite five of the nine siblings covering sub-capabilities this tool bundles (playbooks, build plan, firmware compatibility). The agent must infer on its own whether to call this aggregate lookup or the narrower sibling tools.

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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