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letta_search_memory

Search an agent's conversation memory by querying for specific content, with optional limit on results.

Instructions

Search through agent's conversation memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesID of the agent
queryYesSearch query
limitNoMaximum results to return

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

With no annotations provided, the description bears full responsibility for disclosing behavioral traits like idempotency, side effects, or read-only nature. It only states 'search through memory' without any behavioral context, such as whether it modifies memory or requires special permissions.

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?

The description is a single concise sentence, but it is too brief and lacks necessary detail. It is front-loaded with the verb but does not earn its place by providing additional value beyond the name.

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?

For a search tool with few parameters and an existing output schema, the description is minimally adequate. However, it omits details like result format, pagination, or memory structure that could aid the agent.

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% with basic parameter descriptions. The tool description adds no extra meaning beyond the schema, so the baseline score of 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 'conversation memory', distinguishing it from siblings like 'letta_get_memory' which implies direct retrieval without query semantics.

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 explicit guidance on when to use this tool versus alternatives such as 'letta_get_memory' or 'letta_create_memory_block'. The description does not provide usage context, prerequisites, or exclusions.

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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