Load Case Study
ata_load_case_studyLoad one case study for the configured actor user, including recent versions, trials, promotions, and linked reports.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| caseStudyId | Yes |
ata_load_case_studyLoad one case study for the configured actor user, including recent versions, trials, promotions, and linked reports.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| caseStudyId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description does not contradict them. It adds useful behavioral context by specifying actor-user scoping and the included related data. The 'configured actor user' prerequisite is not explained, but the added scope outweighs that gap.
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, front-loaded sentence that states the operation first and then lists the included data with no filler. Every clause contributes useful information.
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?
The core operation is clear and adequate for a simple read-only load, but important context is missing: what 'configured actor user' means, what limit applies to, and what the response contains beyond the listed items. Since there is no output schema and no parameter documentation, these gaps make the description only minimally complete.
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%, so the description must compensate for explaining caseStudyId and limit. It does not: caseStudyId is only inferable from its name, and limit's meaning (likely capping included versions or reports) is never clarified. The description adds no real semantic value beyond the bare property names.
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 uses a specific verb and resource ('Load one case study') and enumerates the loaded content (recent versions, trials, promotions, linked reports). It is clearly distinct from list-style siblings like ata_list_case_studies, but it does not explicitly disambiguate from the near-identically named sibling load_case_study.
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 usage guidance or alternative routing is provided. The description never states when to use this tool versus ata_list_case_studies, compare_trials, or load_case_study; the intended choice must be inferred from the phrase 'Load one case study.'
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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