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Physical Capability Cloud

match_spaces

Find hosting spaces that match specific machine requirements (voltage, area, etc.). Returns scored matches.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
minAreaNoMinimum floor area in square feet
voltageNoRequired voltage (e.g. 208, 480)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare destructiveHint=false and readOnlyHint=false; the description adds that the result is scored matches, which is return-value context beyond the annotations. However it does not explain scoring, ordering, pagination, whether the match is persisted (relevant given readOnlyHint=false on what reads like a query), or any permission requirements.

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 short sentences, zero padding, with the core action front-loaded and the return behavior stated second. The parenthetical '(voltage, area, etc.)' is mildly redundant with the schema but does not bloat the definition.

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?

For a two-parameter, no-required-argument tool with no output schema and annotations covering the safety profile, this is minimum viable: it says what it matches and that results are scored. It omits what a score means, result shape/ordering, and why a 'find' tool is flagged as not read-only, which an agent would benefit from knowing.

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 description coverage is 100% and both parameters (minArea with square feet, voltage with examples) are fully documented in the schema. The description only echoes the same fields ('voltage, area') and adds no syntax, defaults, or combining semantics beyond what the schema already provides, so the baseline 3 applies.

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: 'Find hosting spaces that match specific machine requirements.' An agent can tell it is a matching/search tool for spaces, which separates it from mutation siblings. It does not, however, distinguish itself from the nearby search_spaces or get_space siblings, so no sibling differentiation credit.

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?

The phrase 'match specific machine requirements (voltage, area, etc.)' implies the usage context — you call it when you have machine constraints and want candidate spaces. But there is no statement of when NOT to use it and no routing to search_spaces, get_space, or get_space_bookings, leaving the agent to infer the boundary.

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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