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MobileAiUse

phone-agent-mcp

by MobileAiUse

save_memory

Store reusable knowledge into the phone agent's persistent memory. Use to save important facts and instructions for future tasks, enabling the agent to recall context across interactions.

Instructions

Save a semantic memory (reusable knowledge) into the phone agent's persistent memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesOne-line title of the memory
contentYesMemory content, under 200 chars recommended
keywordsNoOptional search keywords
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral transparency. It states the write/persist nature ('into persistent memory'), but does not disclose whether the operation is additive-only, how it interacts with existing memories of the same title, whether duplicates are overwritten or stacked, storage limits, or any side effects. Beyond the schema's own field hints, little additional behavior is revealed.

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?

A single, focused sentence that conveys the core action and purpose without waste. Any behavioral or usage detail is absent, but as written it is maximally efficient.

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

Completeness3/5

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

This is a simple 3-param write tool with 100% schema coverage and no nested objects, so it doesn't demand much. However, with no annotations and no usage exclusions, it would benefit from clarifying memory-management behavior (e.g., whether same-title writes override or append, and typical use cases vs search_memory). Adequate but with gaps given the sibling tooling.

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 description coverage is 100%, so all three parameters (title, content, keywords) have inline schema documentation. The description adds the 'under 200 chars recommended' guidance via the schema, not the tool description itself. The description text adds little 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The verb 'Save' plus the resource 'semantic memory' clearly states the tool's action. The parenthetical 'reusable knowledge' usefully clarifies what a semantic memory means. It's distinguishable from siblings like search_memory and delete_memory, though it doesn't explicitly call out any sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description notes this is for 'reusable knowledge' saved into persistent memory, implying it's for knowledge that should persist. However, there is no explicit guidance on when NOT to use it, when to prefer alternatives, or what kind of content is appropriate beyond the persistence framing. It lacks excluded cases (e.g., ephemeral data).

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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