get_federal_history
Weekly federal polling average, up to 24 months.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| months | No |
Weekly federal polling average, up to 24 months.
| Name | Required | Description | Default |
|---|---|---|---|
| months | No |
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, yet it only discloses granularity (weekly) and a range bound (24 months). It says nothing about return format (time series vs. snapshot), data source/freshness, or what happens when months exceeds 24.
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 eight-word sentence with no filler, and the resource is front-loaded. It is efficient, though arguably too sparse to be fully useful rather than concise.
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?
With no annotations, no output schema, and 0% parameter coverage, the description is the only documentation and it omits return shape, data source, and freshness. For a history/trend endpoint whose whole value is temporal data, this leaves an agent under-informed.
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 coverage is 0% and the single parameter 'months' has only a default of 12 documented. The description's 'up to 24 months' directly clarifies the parameter's maximum, adding real value the schema lacks, but it does not state the unit semantics (rolling window? calendar months?) or behavior at the boundary.
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 resource (federal polling average) and its cadence/scope (weekly, up to 24 months), which is clear. However it does not distinguish itself from close siblings like get_federal_trend, get_latest_polls, or search_poll_archive, so an agent must infer the boundary from the name alone.
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 when-to-use guidance and no mention of alternatives, despite several plausible candidates in the sibling list (get_federal_trend, get_latest_polls, search_poll_archive). The 24-month cap is the only implicit scoping hint.
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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