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Glama

describe

Return SmartScale capabilities and input contract.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
errorNo
fieldNo
resultNo
statusYes
messageNo
timestampNo
constraintNo
error_typeNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed12 schema fields changed
    • addedOutput schema / properties / constraint
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Constraint"
      +}
    • addedOutput schema / properties / data
      Added value: +{
      +  "default": null,
      +  "title": "Data"
      +}
    • addedOutput schema / properties / error
      Added value: +{
      +  "default": null,
      +  "title": "Error"
      +}
    • addedOutput schema / properties / error_type
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Error Type"
      +}
    • addedOutput schema / properties / field
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Field"
      +}
    • addedOutput schema / properties / message
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Message"
      +}
    • addedOutput schema / properties / result / default
      Added value: +null
    • removedOutput schema / properties / result / type
      Removed value: -"string"
    • addedOutput schema / properties / status
      Added value: +{
      +  "title": "Status",
      +  "type": "string"
      +}
    • addedOutput schema / properties / timestamp
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Timestamp"
      +}
    • changedOutput schema / required
      Previous value: -[
      -  "result"
      -]New value: +[
      +  "status"
      +]
    • changedOutput schema / title
      Previous value: -"describeOutput"New value: +"FleetToolResult"
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description must convey behavioral traits. 'Return' implies a read-only operation, but no details about side effects or requirements are given. The simplicity of the tool (0 params) partially justifies the minimal description, but it could be more explicit.

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?

The description is a single sentence that directly states the tool's purpose with no unnecessary words.

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?

Given the tool has no parameters and an output schema, the description is nearly complete. It clearly states what is returned, but could briefly mention that it is a read-only introspection tool.

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

Parameters4/5

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

The input schema has zero parameters, so the baseline is 4. The description adds no parameter details, but none are needed.

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?

The description clearly states the tool returns 'SmartScale capabilities and input contract', using a specific verb and resource. It distinguishes from sibling tools like `credit_card_photo_instructions` and `scale_objects_from_credit_card`, which have different purposes.

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?

The description provides no guidance on when to use this tool versus alternatives. It lacks context such as prerequisites or typical use cases, which is particularly needed given the sibling tools exist.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: instructions for photo capture, description of capabilities, health check, and object scaling. No overlap or ambiguity.

Naming Consistency5/5

All tool names use consistent snake_case pattern. While some are multi-word and others single-word, they follow the same convention without mixing styles.

Tool Count5/5

With only 4 tools, the server is well-scoped for its purpose of providing credit card-based measurement. Each tool is essential and there are no superfluous ones.

Completeness4/5

The server covers the core workflow: instructions, scaling, health, and capabilities. It lacks a tool for uploading images or retrieving historical results, but these may be handled externally.