Does the agency write this?
check_appetiteWhether CalRisk Insurance Center writes a given line of insurance in a given US state.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| line | Yes | The line of insurance. | |
| state | Yes | Two-letter US state, like CA. |
check_appetiteWhether CalRisk Insurance Center writes a given line of insurance in a given US state.
| Name | Required | Description | Default |
|---|---|---|---|
| line | Yes | The line of insurance. | |
| state | Yes | Two-letter US state, like CA. |
Changes observed during successful MCP inspections.
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 the scope (CalRisk writes a line in a US state) but nothing beyond that – no hint that the result is a boolean, no coverage/precision caveats.
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 tightly-scoped sentence with the key qualifiers (line, state, US) front-loaded and zero filler. It is a fragment rather than a verb-led sentence, which slightly weakens scanning, but nothing is wasted.
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 simple two-parameter read-only check with no output schema, the definition is adequate but leaves the return value unspecified – an agent can't tell whether it gets a boolean, a confidence level, or reasons for decline. The core input semantics are fully covered, so this is a modest 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?
Schema description coverage is 100%, with the line enum and the two-letter state format fully documented in the schema. The description only restates 'a given line of insurance in a given US state', adding no format or constraint detail beyond the schema, so the baseline 3 applies.
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 states a specific determination: whether the named agency writes a given line in a given state. It's clearly a boolean eligibility/appetite check, not a quote or info lookup, though it never names the siblings it differs from (request_quote, agency_info).
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?
No when-to-use guidance is provided: the description does not say to run this before request_quote/start_online_quote, nor any exclusion or prerequisite. Usage must be inferred from the tool name and sibling set.
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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