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Agent: Get agent operating instructions

get_agent_instructions
Read-onlyIdempotent
    Get behavioral guidelines, safety rules, and workflow guidance for the AI agent.

    Describes how the assistant operates as the user's personal finance
    assistant; intended for the start of a conversation.

    Returns:
        Structured instructions including role, safety rules, workflows, and limits
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds genuine value by describing the returned content (role, safety rules, workflows, limits), which matters because there is no output schema. It does not mention auth or rate-limit behavior, keeping it short of a 5.

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?

Front-loaded purpose followed by a use-case note and a return summary; each line earns its place, especially the return breakdown given the missing output schema. The indented 'Returns:' block is slightly verbose but not wasteful.

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 parameterless, read-only tool with rich annotations and no output schema, the definition is nearly complete: it explains what the call yields. Only minor gaps remain, such as whether the content is static or personalized to the user.

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 takes zero parameters, so the baseline is 4. There is nothing for the description to disambiguate, and it correctly says nothing about inputs.

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?

States a specific verb and resource ('Get behavioral guidelines, safety rules, and workflow guidance for the AI agent') and elaborates that it describes how the assistant operates as a personal finance assistant. This distinguishes it from lookalikes such as get_user_preferences or get_user_profile, though it never names a sibling explicitly.

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?

Gives an explicit usage moment: 'intended for the start of a conversation.' There is no when-not guidance or named alternative, but for a zero-parameter bootstrap tool that is largely unnecessary.

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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