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Edgar & Edgarette: SEC Filing Boards

get_reinsurer_strength

Reinsurer strength from SEC filings, for placing reinsurance: capital and growth, premiums and reserves to capital, five years of reserve development (Schedule VI: strengthened or released, % of opening reserves), accident-year loss ratio, return on capital, debt, investments to net reserves, warning filings, and a boat (count of six published warning signs). Property & casualty reinsurers plus RGA (life). A description from filings, not a rating; ratings and regulatory capital are not SEC data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations the description carries the full burden, and it does disclose the data source and its limits (not a rating, ratings/regulatory capital absent from SEC data) plus the covered universe (P&C reinsurers plus RGA). However, it never says how results are keyed or selected, which matters because the tool takes zero parameters, so it is unclear whether it returns all reinsurers or a fixed set.

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

Conciseness3/5

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

The purpose is front-loaded, but the entire body is a single sprawling run-on sentence whose long metric enumeration is hard to parse. Since there is no output schema, documenting the metrics has value, but the lack of any structural break hurts readability.

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 zero-parameter tool with no annotations or output schema, the description does the heavy lifting: it lists the returned metrics, the source, the covered insurers, and the key limitation. The one real gap is that it never clarifies how the result set is determined in the absence of any input parameters.

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?

Zero parameters, so per the rubric the baseline is 4. The description does not need to explain invocation parameters, though it leaves open how the caller scopes the result set.

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?

Names a specific resource (reinsurer strength metrics) and a specific source (SEC filings), and enumerates the exact metrics returned, so the agent knows precisely what this produces. It is distinguishable from the financial/company-metric siblings by its unique reinsurance focus, though it never explicitly contrasts itself with any of them.

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?

"for placing reinsurance" hints at the intended context, and the closing caveat ("not a rating; ratings and regulatory capital are not SEC data") usefully sets expectations. But there is no explicit when-to-use vs. an alternative, and no guidance on how this relates to the other financial tools in the 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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