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memory_search

Search semantic memory for a project using natural language queries. Filter results by metadata for targeted retrieval.

Instructions

Search the semantic memory for a specific project using a natural language query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNoNumber of results to return (default: 5)
qYesThe search query
filterNoOptional metadata filter (e.g. {'type': 'decision'})
project_idYesUnique identifier for the project scope
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states it is a search operation, implying read-only behavior, but does not disclose any other behavioral traits such as required permissions, rate limits, or non-destructiveness. The description adds minimal beyond the tool name.

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 a single sentence that is concise and front-loaded with the action and resource. Every word is meaningful and contributes to understanding the tool's core function.

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 tool has 4 parameters, including a nested filter object, and no output schema, the description could provide more context about return values or how to use optional parameters. However, the schema covers parameter details, and the description at least clarifies the scope (specific project). It is adequate but not rich.

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 baseline is 3. The description does not add any additional meaning for parameters beyond what the schema already provides. It does not synthesize or explain parameter interactions.

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's purpose: searching semantic memory with a natural language query for a specific project. The verb 'Search' and resource 'semantic memory' are specific, and the context distinguishes it from sibling tools (add, delete, list, reset, stats).

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 explicitly provide guidelines on when to use this tool versus alternatives. However, the purpose is distinct from sibling tools, so the usage is implied. No explicit when-not or alternative naming is provided.

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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