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TANDIU AI infrastructure data

Computers for AI coding agents

recommend_coding_pc
Read-onlyIdempotent

Relative speed and tier (best/recommended/minimum/not_advised) of Macs, laptops and desktops for running Codex / Claude Code.

Input Schema

NameRequiredDescriptionDefault
tierNo
queryNo
categoryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds the scope of applicability (Codex / Claude Code hardware) but says nothing about output shape, ranking semantics, or result size — moderate added value only.

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?

A single, front-loaded clause with zero filler. However, dropping the verb makes it read as a label rather than a statement of what the tool returns.

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

Completeness2/5

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

With three all-optional parameters, no output schema, and no annotation gaps, the description still leaves the agent unsure what a call without parameters does and what the response contains. For a recommendation tool the result contract is entirely unstated.

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

Parameters2/5

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

Schema coverage is 0% for three parameters. The description restates the tier enum values and implies the category values (mac/laptop/desktop), but never explains what 'tier' selects against, what 'category' filters, or what the free-text 'query' matches. It does not compensate for the coverage gap.

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 resource (Macs, laptops, desktops) and the dimension being reported (relative speed and tier) for a named use case (running Codex / Claude Code). It is distinguishable from the cost/price siblings, though the sentence is a fragment and never says it 'recommends' outright.

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?

No guidance on when to use this over the sibling pricing tools, and none on how to combine the three optional filters. Nothing explains what an unfiltered call returns versus a tier- or category-filtered one.

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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