Skip to main content
Glama

propose_pcb_layouts

Generate deterministic PCB component placements for a project revision and compare measured feasible candidates to guide layout decisions before routing.

Instructions

Run deterministic numerical placement optimization; compare measured feasible candidates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
projectYes
revisionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

C2.3/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false, destructiveHint=false, openWorldHint=false, so the safety profile is partly covered, but the description omits the key behavioral facts an agent needs: whether this starts a compute job, whether it persists anything, how expensive/long it is, and what 'measured' means. 'Deterministic' is the only genuine addition, and it is thin for a non-read-only operation.

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 dense sentence with no filler or redundancy, though it is jargon-heavy and front-loads 'deterministic numerical' before the actionable meaning. Efficient, if not maximally informative.

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?

For a tool with 2 required identifiers, an undocumented count parameter, no output schema, and no annotation detail beyond safety hints, the description is too sparse. It should at least say what gets produced, whether it persists state, and how results relate to apply_pcb_layout.

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

Parameters1/5

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

Schema description coverage is 0% across all three parameters (project, revision, count), and the description supplies no meaning for any of them — no required identifiers, no hint that count controls how many candidate layouts are proposed. The 'compare ... candidates' phrasing only vaguely gestures at count.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a verb and a rough resource ('placement optimization', 'feasible candidates'), which is enough to guess it proposes PCB layouts, but it never says 'layout', 'PCB', or 'propose' explicitly and does not distinguish itself from close siblings like apply_pcb_layout or autoroute_pcb_revision. The purpose is inferable but not sharp.

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, no contrast with apply_pcb_layout or autoroute_pcb_revision, and no stated prerequisites (e.g., whether design constraints must already be set). The agent is left to infer that this is a pre-apply exploration step from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.