get_legislative_research_kit

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the behavioral disclosure burden. It explains that the tool returns guidance, naming rules, compatibility policy, and failure-marker meanings, making its informational nature clear. It does not explicitly state that it has no side effects, but the read-only introspective role is strongly implied.

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 front-loaded with the tool's core purpose and then uses three focused bullet points to enumerate the returned content. Every sentence adds useful information and there is no filler or repetition.

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 description is complete for an onboarding/meta tool: it explains the tool's purpose, what it returns, and the key categories of information an agent will receive. Since an output schema exists and there are no parameters, the description gives sufficient context for correct invocation and expectation-setting.

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 has zero parameters and the schema coverage is 100%, so there is no parameter documentation burden on the description. The description correctly implies a parameterless invocation by describing it as an entry-point tool that returns a contract.

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 uses a specific verb and resource: it returns the public tool surface and workflow contract for LLM clients first calling AssemblyMCP. The three bullet points further specify exactly what this includes, distinguishing it from data-fetching siblings like get_bill_details or search_bills.

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?

The description clearly states this is for an LLM/client calling AssemblyMCP for the first time, which is a strong context signal for when to invoke it. It does not explicitly name alternatives such as get_api_spec or list_api_services, but the onboarding purpose is clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.