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navin2031992

Spec-Driven IntelliMatch / iSuite MCP

by navin2031992

is_get_policy

Get complete policy details from iSuite: coverage, premiums, beneficiaries, endorsements, and renewal dates. Query a policy number to retrieve current information.

Instructions

Get complete policy details from iSuite including coverage, premiums, beneficiaries, endorsements, and renewal dates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
policy_numberYesiSuite policy number (e.g. POL-2025-001234)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It does not mention read-only nature, authorization requirements, rate limits, or error handling (e.g., what happens if the policy number is invalid).

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

Conciseness5/5

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

Single sentence, direct, and efficient. Every word serves a purpose with no redundancy.

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

Completeness4/5

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

Given no output schema, the description reasonably explains the return contents. It could be more complete by mentioning possible error states or that it returns a single policy object. Overall, adequate for a simple retrieval tool.

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

Parameters4/5

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

The input schema provides 100% coverage for the single parameter with a clear description. The description adds value by listing the types of data returned (coverage, premiums, etc.), which helps the agent understand what to expect.

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 clearly states the tool gets complete policy details and lists specific elements (coverage, premiums, etc.). It distinguishes the tool from is_get_policy_db by implying a more complete result, but does not explicitly differentiate from siblings like is_get_policy_db.

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?

No guidance on when to use this tool versus alternatives such as is_search_policies or is_get_policy_db. The description does not mention any prerequisites or limitations.

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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