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RepairDesk MCP by usefulapi

List device models

repairdesk_list_devices
Read-only

Read device catalogue by manufacturer/brand or device name. GET /devices.

Input Schema

NameRequiredDescriptionDefault
brandNo
device_nameNo

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 readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds only the underlying endpoint (GET /devices) and nothing about pagination, result caps, or filter combination behavior, so added value is modest.

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 with the resource and filter dimensions front-loaded; there is essentially no filler. The trailing 'GET /devices' is marginally redundant with the tool name but still cheap and informative for agents reasoning about the API.

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?

With no output schema, the description should say what a result looks like (device model entries, IDs usable elsewhere) and whether the list is paginated or truncated. It says only 'device catalogue,' leaving the agent to guess at return shape and completeness.

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 0%, so both optional parameters (brand, device_name) are undocumented in the schema. The description partially compensates by identifying them as manufacturer/brand and device-name filters and hinting they are alternatives ('or'), but it does not clarify matching semantics (exact vs. substring), case sensitivity, or whether both can be combined.

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 (read/list) and resource (device catalogue) and names the two filter dimensions, which distinguishes it from siblings like list_parts or list_inventory. It does not explicitly contrast itself with any sibling, keeping it just below a 5.

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 'by manufacturer/brand or device name' implies the tool is used to look up device models, optionally filtered, but there is no explicit statement of when to prefer it over related list tools or what happens when no filter is supplied. Usage is inferable rather than stated.

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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