resolve_effort
Answer "what is going on with policy X?" — resolve a bill nickname, acronym, or media name ("SAVE Act", "big beautiful bill") to the effort tracking that policy goal across every bill that has carried it, through reintroductions and new Congresses.
This record as markdown: /tools/com-govbase-govbase/resolve-effort.md
What resolve_effort does on Govbase
AI agents call resolve_effort to retrieve information from Govbase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | A name for the effort: bill nickname, acronym, or media name (e.g. "SAVE Act", "big beautiful bill") |
Parameters from the server's own tool schema.
Why resolve_effort is rated Low
This tool retrieves and resolves policy information by mapping names/acronyms to tracked legislative efforts. It performs read-only lookups with no side effects, data modification, or external operations.
From the tool's definition 'resolve a bill nickname, acronym, or media name... to the effort tracking that policy goal across every bill that has carried it' — pure lookup/resolution of existing policy data
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs resolve_effort safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Govbase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For resolve_effort, this is the rule to start with:
resolve_effort is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Govbase, apply this rule, and every resolve_effort call is checked against it from then on.
Questions about resolve_effort
Answer "what is going on with policy X?" — resolve a bill nickname, acronym, or media name ("SAVE Act", "big beautiful bill") to the effort tracking that policy goal across every bill that has carried it, through reintroductions and new Congresses. It is categorised as a Read tool in the Govbase MCP Server, which means it retrieves data without modifying state.
resolve_effort accepts 1 parameter: name. Required: name. The full parameter table on this page comes from the server's own tool schema.
Register the Govbase MCP server in PolicyLayer and add a rule for resolve_effort: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Govbase. Nothing to install.
resolve_effort is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the resolve_effort rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for resolve_effort. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
resolve_effort is provided by the Govbase MCP server (https://api.govbase.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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