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Metis

by SVerITG
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Python
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Metis — Get User Config

get_user_config

Retrieve the complete Metis user configuration from user-config.yaml, including research interests, data sensitivity, and specialist contexts; creates the file with defaults if missing.

Instructions

Return the full Metis user configuration from user-config.yaml.

Returns the complete YAML content (research interests, data sensitivity,
specialist contexts, etc.). For a lightweight profile summary (name,
interests, news_topics), use get_user_profile() instead.
Creates the config file with defaults if it does not exist yet.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description alone discloses that it creates the config file with defaults if missing—an important side effect beyond a simple read. No other behavioral claims are made, but the disclosure is sufficient.

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?

Three sentences, front-loaded with the key action, no redundant words. Every sentence adds value.

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 parameterless tool with an output schema, the description fully explains returns and side effects. It is complete given the simplicity.

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?

No parameters exist, so schema coverage is 100%. The description adds value by explaining the output content (YAML with research interests, etc.), which is beyond the schema.

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?

The description clearly states it returns the full Metis user configuration from user-config.yaml, specifying the source and content (research interests, data sensitivity, etc.). It distinguishes from the sibling tool get_user_profile, so purpose is unambiguous.

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?

The description provides explicit guidance: it recommends get_user_profile for a lightweight summary, implying when to use this tool for the full config. It also notes the file creation behavior. No explicit when-not-to-use, but the alternative is clear.

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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