Free freshness/status audit for monitored official CQC evidence, including source conflicts and changes.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the burden of behavioral disclosure. It discloses the audit scope (freshness, status, source conflicts, and changes) and strongly implies a read-only inspection, but it does not explicitly confirm non-mutation or explain what 'source conflicts' mean in practice.
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 concise sentence with no filler. The core scope is front-loaded and the additional detail about source conflicts and changes earns its place without bloating the text.
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 tool with an output schema, the description is nearly sufficient: it names the resource and the audit dimensions. It is slightly thin on when to choose it over sibling tools and leaves 'monitored official CQC evidence' somewhat assumed, but the low parameter count and existing output schema reduce the need for further detail.
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 input schema has zero properties, so there are no parameter semantics to document. The description's mention of the audited resource and areas is sufficient context for a tool that takes no arguments.
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 identifies a specific resource (monitored official CQC evidence) and a clear function (freshness/status audit), also mentioning source conflicts and changes. It is not a tautology and is distinguishable from the sibling preflight/readiness tools, though it lacks an explicit verb like 'returns' or 'checks'.
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 wording implies this tool is used to assess the current freshness and status of CQC evidence, which contrasts with the preflight-oriented siblings. However, it does not explicitly state when to use this tool over alternatives or provide exclusions, so guidance is only implied rather than direct.
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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Each tool targets a distinct regulatory question—location, scope, structure, changes, notifications, documents, source freshness—and the descriptions clarify the boundary. However, cqc_application_readiness is a broad aggregate that overlaps with several component preflights (premises, staff, documents), so agents may occasionally misroute between the holistic check and the specific decision tools.
All tools share a cqc_ prefix and use clear snake_case names. Most decision tools use the _preflight suffix, but provider_info, required_documents, and source_status break that pattern, making the naming slightly uneven.
Nine tools is a well-scoped size for a regulatory decision layer. Each tool addresses a distinct aspect of CQC decisions without redundant or filler tools.
The set covers the main CQC regulatory decision surface: new provider readiness, location, scope, structure, change routing, documents, notifications, and source evidence. Minor gaps such as deregistration or voluntary cancellation are not represented, but the core registration and notification workflows are complete.