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mem0_search

Search long-term memory to retrieve stored information using queries. This tool helps users find past data and insights within the Orchestrator MCP Server's memory system.

Instructions

Search Mem0 long-term memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query
userIdNoUser ID (default: matt)
limitNoMax results (default 5)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only states the basic action ('Search') without revealing any behavioral traits: no information about authentication needs, rate limits, what constitutes 'long-term memory', whether results are paginated, or what format the results take. For a search tool with zero annotation coverage, this leaves significant gaps.

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 extremely concise at just four words, with zero wasted language. It's front-loaded with the core action and immediately communicates the essential purpose. Every word earns its place in this minimal description.

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?

Given the complexity of a search operation with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what 'Mem0 long-term memory' contains, what format results return, whether authentication is required, or any error conditions. For a tool that presumably returns search results, the lack of output information is a significant gap.

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 schema already fully documents all three parameters. The description adds no additional parameter semantics beyond what's in the schema - it doesn't explain search syntax, how the query is processed, what 'userId' controls, or how 'limit' affects performance. With complete schema coverage, the 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 description clearly states the verb ('Search') and resource ('Mem0 long-term memory'), providing a specific purpose. However, it doesn't distinguish this tool from potential sibling memory tools (like 'mem0_add'), which would require a 5. The description is unambiguous about what the tool does.

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 provides no guidance on when to use this tool versus alternatives. There's no mention of when this search is appropriate, what kind of memory it accesses, or how it differs from other search tools in the sibling list (like 'web_search'). The agent receives no contextual usage information.

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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