get_governments
Who governs federally and in each of the 16 states: coalition, head of government, since when.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Who governs federally and in each of the 16 states: coalition, head of government, since when.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 behavioral burden. It describes the returned data but does not explicitly state that the tool is read-only, has no side effects, or has any auth/rate-limit constraints, leaving key behavioral context absent.
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 efficiently names the resource, scope, and returned fields with no wasted words.
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 simple zero-parameter lookup, the description covers the resource scope and the fields returned, which is largely sufficient. It does not explain the output structure or when to prefer it over related tools, but those gaps are minor given the tool's low complexity and lack of an output schema.
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 takes zero parameters, so there is no parameter semantics for the description to clarify. Per the rubric, a zero-parameter tool has a baseline of 4 when the schema is fully covered.
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 resource and scope: current governments at the federal level and in all 16 states, with named attributes (coalition, head of government, since when). It is specific enough to distinguish this from historical tools like get_federal_history, but it does not explicitly name or contrast with any sibling tool.
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 use this tool versus alternatives, nor any stated prerequisites or exclusions. The scope is implied by the purpose, but the description provides no explicit usage context.
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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