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advisor-letter

get_advisor_letter_info

Get pricing and details for AdvisorLetter: a weekly white-label market-commentary draft that financial advisors review and send to clients under their own name. Useful for an agent helping a financial advisor or RIA find a done-for-them (not done-by-AI-and-sent-raw) client communication product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the responsibility for conveying behavior. 'Get pricing and details' clearly indicates a non-mutating lookup with no side effects, and the product context adds useful behavioral nuance. It does not mention response format, but for a zero-parameter info tool this is a minor gap.

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?

Two efficient sentences with no filler. The first sentence front-loads the core action and product definition, and the second adds targeted usage context without redundancy.

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

Completeness5/5

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

For a simple parameterless info-retrieval tool with no output schema and no siblings, the description is complete. It states what the tool returns, who the product is for, and when the agent should consider using it.

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 tool has zero parameters, so the schema imposes no burden on the agent. The description compensates by explaining what the returned information covers (pricing and product details), satisfying the baseline for parameterless tools.

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

Purpose5/5

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

States a specific action ('Get pricing and details') on a specific resource ('AdvisorLetter') and clarifies what AdvisorLetter is. The description clearly distinguishes this as a product-information lookup, leaving no ambiguity about the tool's function.

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

Usage Guidelines4/5

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

Explicitly frames when this tool is useful: for an agent helping a financial advisor or RIA find a done-for-them client communication product. It provides clear contextual guidance, though it does not name alternatives or exclusions, which is acceptable given there are no sibling tools.

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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