get_capabilities
Processes, materials, colors, finishes, services, speeds, file formats, limits and payment methods.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Processes, materials, colors, finishes, services, speeds, file formats, limits and payment methods.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, covering the safety profile. The description adds a content list but no behavioral context such as caching, authentication requirements, or how the data is sourced, so it adds little beyond structured fields.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise fragment, front-loaded with the capability categories. Every word contributes to defining the scope, with no wasted text. It is a list rather than a sentence, but that is appropriate for a zero-parameter getter.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With an output schema and rich annotations, the description only needs to cover purpose and usage. It covers purpose via the category list but omits any usage guidance or differentiation. For a simple zero-parameter tool, this is minimally viable, but the missing when-to-use context is a clear gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline is 4 per the rules. The description does not need to explain parameter semantics, and none are present to document.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description enumerates the specific capability categories returned (processes, materials, colors, finishes, services, speeds, file formats, limits, payment methods), making the resource scope very clear. It lacks an action verb (relying on the tool name) and does not differentiate from siblings, but no sibling overlaps in purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use guidance is provided, no alternatives mentioned, and no prerequisites stated. The description only lists content, leaving the agent to infer when this tool should be called.
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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