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Design review packet

get_review_packet
Read-only

Everything a design review needs in one text: the brief, the dossier, circuit.py and the compiled connectivity (every net with every pin and its function), with the reviewer instructions. Review it yourself and fix blockers with edit_circuit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
design_idYesThe design id returned by create_design or list_designs.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With readOnlyHint=true, destructiveHint=false and openWorldHint=false already declared, the safety profile is covered; the description usefully adds that this returns one consolidated text blob containing the netlist, dossier and reviewer instructions. It carries real return-content burden since no output schema exists, and it does so adequately.

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?

Two sentences, front-loaded with the packet's contents, and the second sentence pivots to the action step. Slightly dense parenthetical, but every clause conveys inventory the agent needs to decide whether to call it.

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?

For a single-parameter read-only tool with no output schema, the description covers both what comes back and what to do next. Missing only explicit routing against lookalike siblings (get_design, read_design_file).

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?

One parameter with 100% schema description coverage, so the schema already defines design_id and its origin (create_design or list_designs). The description adds no further parameter guidance, which matches the baseline expectation when the schema does the heavy lifting.

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?

Names a specific resource (a design review packet) and enumerates its contents: brief, dossier, circuit.py, compiled connectivity with nets/pins/functions, and reviewer instructions. This distinguishes it well from file-level siblings like read_design_file, though it never explicitly contrasts itself with get_design or get_board_context.

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

Usage Guidelines4/5

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

States the intended workflow ('Review it yourself and fix blockers with edit_circuit'), which tells the agent both the purpose and the follow-up tool. No explicit when-not or exclusion criteria are given, so it falls just short of full routing guidance.

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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