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GlacierEQ
by GlacierEQ

supermemory_search

Search semantic long-term memory using a query. Retrieve relevant memories with an optional limit on the number of results.

Instructions

Search Supermemory semantic long-term memory

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo
Behavior2/5

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

No annotations provided, so the description must cover behavioral traits. It only says 'search', implying read-only, but does not disclose whether results are ordered, paginated, or if there are rate limits. The description lacks sufficient detail for a transparent behavioral profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely brief (one short sentence), but it sacrifices necessary detail. While it has no fluff, it fails to include essential information, making it under-specified rather than efficiently concise.

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?

For a tool with two parameters and no output schema, the description does not provide enough context about search behavior, result format, or edge cases. It lacks completeness even for a simple search tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the tool description does not explain the meaning or usage of the 'query' or 'limit' parameters. The agent receives no semantic aid beyond the schema types.

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 tool searches 'Supermemory semantic long-term memory', indicating a specific memory system. It differentiates from general search tools by specifying 'semantic long-term memory', though it does not explicitly contrast with siblings like aspen_search.

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 guidance on when to use this tool versus alternatives. There is no mention of prerequisites, context, or exclusions, leaving the agent to infer usage from the tool name alone.

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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