list_elections
List available elections with exact IDs and dates, including both 2019 elections.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List available elections with exact IDs and dates, including both 2019 elections.
| 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?
Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is well covered. The description's contribution is scoping — it implies the full unfiltered election set is returned, including both 2019 entries — but it says nothing about ordering, completeness guarantees, or the shape of each returned record beyond IDs and dates.
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 with no filler; the return payload is stated before the scope caveat. The trailing clause about 2019 elections is a bit cryptic out of context but costs almost nothing.
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-argument read tool with no output schema, the description covers the essentials: it is an enumeration, it returns IDs and dates, and it is unfiltered. Ordering and the full record structure are left unspecified, which is the only real gap.
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 the baseline is 4. The description usefully confirms no filtering is applied, which is the only parameter-adjacent fact that matters here.
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 and resource ("List available elections") and adds what the caller gets back (exact IDs and dates). It stops short of distinguishing itself from the singular sibling get_election, so an agent must infer that this is the enumeration counterpart.
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?
Usage is only implied: the emphasis on "exact IDs" suggests it is the discovery step before calling get_election, but that sibling is never named and no when-not guidance is given. The "including both 2019 elections" note does hint at a specific lookup scenario without spelling it out.
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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