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madgodinc

mgi-mind

Official

mind_context

Generates a compact context briefing at session start from local long-term memory, so AI assistants resume work with accurate, contradiction-resolved facts.

Instructions

Generate compact context briefing for session start

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden and it is essentially silent. It does not say whether the call is read-only, what the briefing contains or how large it is, whether it writes anything, or what happens if no prior session data exists.

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?

A single short sentence with no filler, and the trigger ('session start') is front-loaded alongside the action. It is efficient, though its brevity comes at the cost of content rather than being a virtue of trimming redundancy.

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

Completeness2/5

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

With no output schema and no annotations, the description is the only source of information, and it leaves the return value completely undefined. An agent cannot tell what 'compact context briefing' actually delivers or how it differs from mind_session_start before committing to the call.

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, which is the baseline-4 case: there are no parameter semantics to explain and nothing in the schema or description needs reconciling.

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 ('Generate') and a specific resource ('compact context briefing for session start'), which is more than a restatement of the name. However, it does not distinguish itself from closely related siblings such as mind_session_start, mind_recall, or mind_stats, leaving the agent to guess which one produces session context.

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?

The phrase 'for session start' implies the trigger condition, so usage is inferable at a high level. There is no explicit when-to-use guidance, no when-not-to-use, and no pointer to alternatives among the many sibling tools that could also supply session context.

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