Get manufacturer
get_manufacturerGet detailed manufacturer information including contact details and associated system classes.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Manufacturer ID |
get_manufacturerGet detailed manufacturer information including contact details and associated system classes.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Manufacturer ID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish read-only, idempotent, non-destructive, closed-world behavior, so the bar is lower; the description still adds value by disclosing what the payload contains (contact details and associated system classes). It stops short of describing error handling or null/missing-ID behavior.
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?
A single tight sentence with no filler, and the most important information (what is retrieved and what it includes) is front-loaded.
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?
For a simple one-parameter lookup with rich annotations and no output schema, the description is nearly sufficient, indicating both the record type and the extra content returned. Only minor gaps remain, such as failure behavior for an unknown ID.
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?
Schema description coverage is 100% and the single 'id' parameter is fully documented as a UUID (Manufacturer ID) in the schema. The description adds no meaning beyond that, so the baseline of 3 applies.
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?
States a specific verb ('Get') and resource ('manufacturer') and even scopes the payload ('contact details and associated system classes'). It is clearly a single-record lookup by ID, distinguishable from list_manufacturers, though it does not name that sibling explicitly.
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?
Usage is only implied: retrieve one manufacturer when you have its ID. There is no explicit when-to-use, no when-not-to-use, and no mention of the alternative list_manufacturers for browsing or discovery.
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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