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ceorkm
by ceorkm

memory_ask

Use natural language to ask questions about stored project memories and retrieve relevant information from past sessions.

Instructions

Ask questions about your memories using natural language

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesNatural language question about your memories
limitNoMax results to return (default: 10)
Behavior1/5

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

With no annotations provided, the description carries full burden but offers no behavioral disclosure. No mention of read-only nature, data privacy, rate limits, or return format.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence is concise but lacks structure. No front-loading of key info beyond a generic verb-noun phrase.

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?

Despite simple parameters and no output schema, the description fails to specify what the tool returns, how to phrase effective questions, or any constraints (e.g., time range). Incomplete for full understanding.

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% and description adds minimal extra meaning beyond 'using natural language' for question parameter. Baseline 3 is appropriate as it does not significantly enrich parameter understanding.

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 allows asking questions about memories using natural language, which distinguishes it from siblings like memory_search (likely keyword-based) and memory_get (by ID).

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?

No guidance on when to use this tool versus other memory tools, such as when to use memory_get or memory_search instead. Lacks context about appropriate scenarios or limitations.

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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