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search_memory

Retrieve relevant context from memory collections via search query, enabling outcome-based persistent memory for AI coding tools.

Instructions

Search across memory collections for relevant context

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as whether the search is semantic or exact, how many results are returned, or any limitations. The schema provides the parameter but no extra context beyond the description.

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?

The description is a single sentence that is concise and front-loaded with the action. While efficient, it could be slightly expanded to include return behavior without losing conciseness.

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?

Given the simple input schema (one string parameter) and no output schema, the description is somewhat complete but lacks details on return format, ranking, or pagination. It is adequate for a basic search tool but could be improved.

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 the baseline is 3. The tool description does not add any additional meaning beyond what the schema already provides for the 'query' parameter.

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 action ('Search') and the resource ('memory collections'), distinguishing it from sibling tools that involve adding, deleting, recording, scoring, or updating memories. It is specific enough to indicate this is the retrieval tool.

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 does not provide explicit guidance on when to use this tool versus alternatives, but the verb 'Search' and the sibling tool names imply this is the appropriate choice for finding relevant context. No exclusions or conditions are mentioned.

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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