Skip to main content
Glama

There's An AI For That

Get device details

get_device
Read-only

Get public details and specifications for one AI device by slug. Preserve returned URLs exactly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe device slug returned by search_devices.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
deviceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / properties / device / properties / attributes / properties / tasks
      Added value: +{
      +  "items": {
      +    "additionalProperties": false,
      +    "properties": {
      +      "id": {
      +        "type": "integer"
      +      },
      +      "name": {
      +        "type": "string"
      +      },
      +      "role": {
      +        "enum": [
      +          "primary",
      +          "secondary"
      +        ],
      +        "type": "string"
      +      },
      +      "slug": {
      +        "type": "string"
      +      },
      +      "url": {
      +        "type": "string"
      +      }
      +    },
      +    "required": [
      +      "id",
      +      "name",
      +      "slug",
      +      "role",
      +      "url"
      +    ],
      +    "type": "object"
      +  },
      +  "type": [
      +    "array",
      +    "null"
      +  ]
      +}
  2. Added

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered and the bar for added context is lower. The description adds two useful notes ('public details' scope and 'preserve returned URLs exactly'), but omits rate limits, error behavior for bad slugs, and whether any fields are auth-gated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the core action, and no filler. The trailing instruction about preserving URLs is terse but contributes actionable information.

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?

Output schema exists so return-value explanation is unnecessary, and annotations carry the safety semantics. For a one-parameter read tool, the description is nearly complete; only sibling routing (search_devices) and failure behavior for an invalid slug are missing.

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%, so the single slug parameter is already fully documented in the schema including its origin ('returned by search_devices'). The description adds no format, example, or normalization detail beyond 'by slug', so baseline 3 applies.

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

Purpose5/5

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

States a specific verb (get) and resource (public details and specifications for one AI device), with the 'by slug' qualifier distinguishing it from the sibling search_devices listing tool. An agent can tell immediately this is the single-item lookup counterpart to device search.

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?

Usage is only implied: fetching a device by a slug the agent already holds. It never names search_devices, gives no when-not-to-use case, and gives no guidance for an unknown/invalid slug. The retrieval-then-fetch workflow is inferable but not stated in the description.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.