memory_search
Search AI-agent memory with scope-aware retrieval to locate relevant information while respecting ownership and governance rules.
Instructions
memory search
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Search AI-agent memory with scope-aware retrieval to locate relevant information while respecting ownership and governance rules.
memory search
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description discloses nothing about side effects, access, or return behavior. The string 'memory search' is purely tautological.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief but this is under-specification, not conciseness. One word is not enough to convey purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, no parameters, and a one-word description, the tool provides zero context for an agent. Sibling tools have richer names, but this tool is opaque.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is an empty object with zero parameters, so the baseline for parameter semantics is 4. There are no parameters to document, and the description does not need to add syntax.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'memory search' simply restates the tool name without specifying a verb, resource, or scope. It does not distinguish it from sibling tools like memory_explain or memory_source_get.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No information about when to use this tool versus alternatives. Sibling names suggest search/explain/propose, but the description offers no context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/AlekseiUL/agent-memory-control-plane'
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