Skip to main content
Glama

PolicyVera insurance quotes

Your policies and ID cards

my_policies
Read-only

The person's policies and ID cards on PolicyVera, as their Policies page shows them: each policy's line, carrier, policy number, dates, premium, home, and whether it is confirmed. Where a kind has more than the page showed, more[] names the kind and the offset to ask for next.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "my_policies"
  }
}

Input Schema

NameRequiredDescriptionDefault
kindNoOne kind to list further, from more[].
offsetNoWhere that kind continues, from more[].

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, so safety is covered. The description adds genuinely new behavior: results mirror the Policies page and may be truncated, with more[] indicating which kinds continue and at what offset — context not present in the annotations. It stops short of describing ordering, counts, or what 'unmatched'/'otherDocuments' kinds contain.

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?

Two sentences, both front-loaded with the important information (what it returns first, pagination second), with no filler. Slightly dense wording ('as their Policies page shows them', 'more[] names the kind and the offset to ask for next') costs a little readability but every clause carries information.

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?

For a two-optional-parameter read tool with no output schema, the description carries the return-shape burden well by listing the per-policy fields and explaining truncation/pagination. Remaining gaps (ordering of results, what the 'unmatched' and 'otherDocuments' kinds represent, whether IDs are included for follow-up calls) are moderate rather than fatal.

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?

Schema coverage is 100%, so baseline is 3, but the description adds real meaning by tying both parameters to the more[] pagination loop — explaining that kind and offset come from more[] and are used to fetch a specific kind's continuation. This connects the input params to an undocumented return structure (no output schema exists), which the schema alone only states tersely.

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 resource concretely (the person's policies and ID cards) and enumerates the fields returned (line, carrier, policy number, dates, premium, home, confirmed), which separates it from document-oriented siblings like my_documents or read_policy_document. The verb is implicit ('as their Policies page shows them') rather than an explicit 'list/retrieve', and no sibling is named as an alternative, so it falls short of a 5.

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

Usage Guidelines3/5

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

Usage is only implied: it is evidently a read/list tool for policy data, and the second sentence explains how to page further via kind/offset. There is no explicit statement of when to call this versus my_documents, get_my_document, or read_policy_document, and no prerequisites or exclusions are given.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources