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mimir_context

Read-only

Retrieve a markdown context block of key entities to pre-load an AI agent with relevant memories from past sessions, ensuring continuity across conversations.

Instructions

Return a pre-formatted markdown context block of the most important entities for session injection. The downstream system (Perseus) uses this to pre-load AI agent context with relevant memories before work begins.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of entities to include in the context block
categoriesNoCategories to include. Empty array = all categories.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
markdownNoMarkdown-formatted context block with entity details
total_charsNoCharacter count of the markdown content
Behavior4/5

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

Annotations already declare readOnlyHint=true. The description adds behavioral context by specifying the output is pre-formatted markdown and the downstream use case. It does not contradict annotations and provides useful information beyond them.

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?

The description is two sentences long, front-loaded with the core purpose, and every word adds value. No fluff or redundancy.

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?

Given the presence of a full input schema (100% coverage), an output schema, and readOnlyHint annotation, the description is sufficient. It explains the output format and use case, but could optionally include details about the structure of the markdown or how 'most important entities' are determined.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage for both parameters (limit and categories). The description does not add additional meaning beyond what the schema already provides, so baseline score of 3 is appropriate.

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 the tool returns a pre-formatted markdown context block of important entities for session injection, naming the downstream system Perseus. It is specific about the verb (return) and resource (context block), and the purpose is distinct from sibling tools like mimir_recall.

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 description implies usage for pre-loading AI agent context before work begins (session injection). However, it does not explicitly state when to avoid using this tool or mention alternatives among the many sibling mimir tools. The guidance is adequate but not explicit.

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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