get_compliance_summary
Get the subcontractor compliance summary: totals for tracked, not received, lapsed cover, lapsing this week, and awaiting check.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get the subcontractor compliance summary: totals for tracked, not received, lapsed cover, lapsing this week, and awaiting check.
| 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?
No annotations are provided, so the description carries the burden of behavioral disclosure. It clearly states the tool returns a summary of totals, which implies a read-only aggregation operation. However, it does not disclose whether the data is real-time, cached, or computed on demand, nor does it describe the output format. The description is accurate but minimal.
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, well-structured sentence that front-loads the resource and then lists the exact data points. Every word earns its place; there is no fluff or repetition.
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 zero-parameter, no-output-schema tool, the description is nearly complete. It tells the agent exactly what data will be returned. The only minor gap is the lack of explicit output format details (e.g., whether it's a JSON object with named fields), but the listed categories are sufficient for an agent to understand the result.
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 there is no parameter semantics burden. The description fully explains what the tool returns, which is the only semantic content an agent needs. Baseline 4 is appropriate for a no-parameter tool.
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 ('Get') and a specific resource ('subcontractor compliance summary'), and enumerates the exact data points returned (totals for tracked, not received, lapsed cover, lapsing this week, awaiting check). This clearly distinguishes it from sibling tools like export_compliance_report or get_expiring_cover, which have different purposes.
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 description implies this is the tool to call when you need a summary of compliance statuses, but it does not explicitly state when to use it versus alternatives like get_expiring_cover or list_uninsured_subs. The listed data points help an agent infer the use case, but there is no explicit when/when-not guidance.
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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