list_rfo_parts
List official RFO model parts and counts of posted agency deviations.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| part | No | ||
| agency | No | ||
| updated_since | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List official RFO model parts and counts of posted agency deviations.
| Name | Required | Description | Default |
|---|---|---|---|
| part | No | ||
| agency | No | ||
| updated_since | No |
| 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, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that results include deviation counts, which is useful context, but says nothing about pagination, filtering behavior, or what 'official' means. For a read-only list tool with annotations, this is adequate but thin.
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 front-loaded sentence with no wasted words. It is efficient, though the phrase 'RFO model parts' is slightly ambiguous without expansion.
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?
An output schema exists, so return values need not be explained. However, with three undocumented optional parameters and no usage context, the description does not provide enough for an agent to call the tool correctly or choose it over siblings.
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 0%, and all three parameters (part, agency, updated_since) are documented only by their titles. The description does not explain that part filters by part number, agency filters by agency, or what format updated_since accepts. With low schema coverage, the description needs to compensate and does not.
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 names a specific verb ('List') and resource ('official RFO model parts') and adds that it returns counts of posted agency deviations, which distinguishes it from get_rfo_part (a detail tool). However, it does not explicitly differentiate itself from list_rfo_agency_deviations or explain the 'RFO' acronym used in the annotations.
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?
There is no guidance on when to use this tool versus siblings like get_rfo_part or list_rfo_agency_deviations. The description gives no context, prerequisites, or exclusions, leaving selection entirely to inference.
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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