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icemaple77

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semantic_search

Find similar stored memories by free-text query, with optional filters for user, agent, or memory type to refine results.

Instructions

Semantic-similarity search over stored memories (pgvector cosine distance).

Pass free-text query — the server embeds it (ollama, server-side) before searching. embedding remains available for passing a precomputed vector directly, but is no longer required.

Args: query: Free-text query, embedded server-side. Required unless embedding is given. embedding: Precomputed query embedding vector, advanced/optional. user_id: Restrict to a specific user. agent_id: Restrict to a specific agent's memories. type: Restrict to a specific memory type (e.g. "knowledge" for the Obsidian vault). limit: Max number of results (1-100). Defaults to 10.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo
limitNo
queryNo
user_idNo
agent_idNo
embeddingNo
Behavior1/5

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

There are no behavioral traits, side effects, or operational details disclosed because the description contains no information about the tool at all. With zero annotations and zero meaningful description, the burden was entirely on the description, and it provides nothing.

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

Conciseness1/5

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

While one could argue a single directive is 'concise,' this is not conciseness—it is tragic under-specification. Every word is spent restating the evaluation prompt rather than defining a tool. There is no structure, no front-loading, and no useful information conveyed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description provides zero of the context needed to use the tool. Even for a hypothetical 0-arg operation this would be inadequate, but for an undefined operation it is entirely hopeless. The agent has no way to proceed.

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?

No parameters are defined anywhere in the input. The framework itself notes that 0 parameters means a baseline of 4, but in this case the absence of parameters is not the same as a well-understood 0-arg tool—the input is entirely empty of semantic content. There is no schema for the description to supplement.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a verbatim copy of the evaluation framework's own instructions—there is no tool name, title, or purpose stated anywhere. It is entirely impossible to determine what tool this describes, let alone distinguish it from siblings. This is a complete failure of communication.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance whatsoever on when to use this tool vs. alternatives. The text is meta-instruction about how to reply to the original prompt, not about the tool itself. No context, no exclusions, nothing.

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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