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axint.context.memory

Read-onlyIdempotent

Restore compact operating memory for Axint agents after session restart or long coding drift, without rereading full documentation.

Instructions

Return the compact Axint operating memory that agents should reload at new chat start, after context compaction, or after long coding drift. Use this to keep Axint top-of-mind without rereading the full docs. Use: use after compaction or session restart when the agent needs compact operating rules. Effects: read-only generated context; writes no files and uses no network.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNameNoProject name to include in the memory.
expectedVersionNoExpected Axint version to compare against axint.status.
platformNoTarget Apple platform, such as macOS, iOS, visionOS, or all.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesPrimary Axint tool response text, matching the first text content block.
isErrorNoWhether Axint marked the tool response as an error.
Behavior5/5

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

Annotations already provide readOnlyHint, destructiveHint, idempotentHint. Description adds 'read-only generated context; writes no files and uses no network', which reinforces and adds detail without contradiction.

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 concise sentences plus a 'Use:' line. No wasted words, front-loaded with purpose, then behavior. Efficient and clear.

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?

With full parameter schema, annotations, and an output schema, the description provides all needed context: purpose, usage triggers, and behavioral guarantees. Complete for a read-only tool.

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?

Schema coverage is 100% with good parameter descriptions. The tool description does not add extra meaning beyond the schema, so baseline 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?

Clearly states it returns compact Axint operating memory for specific scenarios (new chat start, after compaction, after drift). Distinguishes from sibling 'axint.context.docs' by focusing on operating memory vs full docs.

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 tells when to use: after compaction or session restart. Lacks explicit when-not or alternative tools, but the context is clear enough.

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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