get_stats
Get overall statistics about the LaborCurrent database.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Get overall statistics about the LaborCurrent database.
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. The verb 'Get' implies a read operation, but nothing is said about authentication requirements, whether the api_key is needed, rate limits, or what general statistics means. This is minimal inferred behavior rather than explicit disclosure.
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 or redundant phrasing. It front-loads the main purpose, though the phrase 'overall statistics' is vague enough that it does not do much work beyond naming the tool's domain.
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 tool has an output schema, so return values may be documented there, but the description still omits important context such as authentication requirements, what kind of statistics are included, and how this differs from the many sibling tools. Without annotations, this is under-specified for an agent selecting among many get_* options.
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%, and the description does not mention the api_key parameter at all. The parameter name and default null give some semantic hint, but the description adds no value beyond the input schema regarding how or when the API key should be supplied.
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 states a clear verb ('Get') and resource ('overall statistics about the LaborCurrent database'), which distinguishes it from the more specialized sibling tools like get_company_layoffs or get_market_pulse. It does not explicitly name a sibling or scope edge case, but the word 'overall' provides enough differentiation.
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?
There is no guidance on when to choose get_stats instead of the many more specific get_* or search_* tools. No exclusions or alternative routing are provided, so the agent must infer that this is for high-level database statistics.
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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