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Aster National Insurance Group

Does the agency write this?

check_appetite
Read-only

Whether Aster National Insurance Group writes a given line of insurance in a given US state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lineYesThe line of insurance.
stateYesTwo-letter US state, like CA.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds no behavioral context beyond that: it does not say whether the result is a boolean, what happens for unsupported lines, or whether the lookup is deterministic. It essentially restates the purpose rather than disclosing behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single economical sentence with no wasted words, and the resource being checked (Aster, line, state) is front-loaded. The sentence-fragment construction is slightly awkward but costs nothing in length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter, closed-world read with a fully documented schema, the description covers the core intent. However, with no output schema, it does not tell the agent what comes back (a yes/no flag, an appetite record, a reason string), which is the one meaningful gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with the line enum documented and the state format ('Two-letter US state, like CA') spelled out in the schema. The description mirrors these inputs but adds no format or constraint detail beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the specific check being performed (whether Aster National Insurance Group writes a given line in a given state), which is clearly distinct from sibling tools like request_quote or agency_info. It is phrased as a fragment ('Whether...') rather than a verb+resource sentence, but the intent is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to call this versus agency_info, request_quote, or start_online_quote. The agent must infer that this is a pre-quote eligibility check, and no exclusions or prerequisites are stated.

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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