AI use case inventory
gov_ai_inventoryYour agency's AI use case inventory: the current version of each record. Requires the organization API key.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| use_case_id | No | One use case; omit for all |
gov_ai_inventoryYour agency's AI use case inventory: the current version of each record. Requires the organization API key.
| Name | Required | Description | Default |
|---|---|---|---|
| use_case_id | No | One use case; omit for all |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and a closed-world scope, so the safety profile is covered. The description adds two useful behavioral facts beyond the annotations: an auth requirement (organization API key) and that only the current version of each record is returned.
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?
Two short sentences, purpose first, then the access constraint. No filler, no restatement of the tool name, and the most decision-relevant information leads.
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 read-only single-param list tool with full schema coverage and annotations covering safety, the description says enough to invoke it correctly. It stops short of noting return shape or pagination, though no output schema exists, so that gap is minor.
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 coverage is 100% and the single optional parameter is already documented ('One use case; omit for all'). The description adds no syntax, ID format, or filter semantics beyond the schema, so the baseline 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 the resource (the agency's AI use case inventory) and scopes it to 'the current version of each record', which implicitly distinguishes it from version-history or export siblings. However, the verb is nominal/implicit and no sibling (e.g. gov_ai_inventory_export or gov_ai_inventory_check) is named to sharpen the boundary.
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?
The prerequisite 'Requires the organization API key' is a genuine usage condition, but there is no guidance on when to choose this over gov_ai_inventory_check, gov_ai_inventory_export, or gov_ai_usecase_save. Usage is only implied by the purpose statement.
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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