export_compliance_log
Export the full kitchen compliance log as CSV text (area, service, next due, status, chase history).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Export the full kitchen compliance log as CSV text (area, service, next due, status, chase history).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full behavioral disclosure burden. It does disclose the return format (CSV text) and the included fields, and 'export' implies a non-destructive read. However, it says nothing about potential size/volume limits, truncation, or performance implications of exporting the 'full' log, which would be valuable for a no-parameter export tool.
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 that puts the verb and resource first and appends the column details in a compact parenthetical. Every element earns its place with zero waste or redundancy.
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 no-parameter export with no output schema, the description covers the essentials: the format, the scope (full log), and the column structure. The only gap is behavioral detail such as volume limits, which is a minor omission for a tool of this simplicity.
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 has zero parameters, so the baseline is 4 per the rubric. The description adds meaningful context about what the returned CSV will contain (the column list), which is the only semantics an agent needs for a parameterless export call.
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 ('Export'), a clear resource ('the full kitchen compliance log'), the output format ('CSV text'), and enumerates the columns (area, service, next due, status, chase history). This differentiates it from the query-oriented siblings, which return filtered views or summaries rather than a complete export.
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 word 'full' implies this is the complete-log alternative to the filtered siblings (get_compliance_summary, get_services_due, list_overdue_services, search_services), but the description never names an alternative or states explicit when-to-use vs when-not-to conditions. The usage context is implied rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.