Skip to main content
Glama

search_notes

Search campaign notes using semantic query matching. Retrieve ranked results with content and tags, scoped to a campaign or across all notes.

Instructions

Semantic search across campaign notes.

Args: query: What to search for. campaign_id: Scope to a specific campaign. Omit for all. top_k: Number of results (default 5).

Returns: Ranked results with content and tags. Each entry is annotated with "mode": "semantic" when cosine ranking was used, or "mode": "recency" when embeddings were disabled / unavailable and the server fell back to most-recent-first listing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
campaign_idNo
top_kNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, description fully discloses behavioral traits: fallback to recency when embeddings disabled, return format including 'mode' field. This goes beyond schema and adds significant value.

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?

Efficiently structured with Args and Returns sections. Every sentence provides needed information without redundancy. No fluff.

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

Completeness5/5

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

Covers all necessary aspects: search semantics, parameter explanations, fallback behavior, return format. Given tool complexity and no output schema shown, description is self-contained and complete.

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

Parameters5/5

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

Schema description coverage is 0%, so description carries full burden. It explains each parameter's purpose and clarifies default behavior (e.g., omitting campaign_id searches all). Adds meaning beyond bare schema.

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

Purpose5/5

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

Clearly states 'semantic search across campaign notes', specifying verb and resource. Distinguishes from sibling 'get_notes' which likely retrieves notes without semantic ranking.

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

Usage Guidelines4/5

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

Explains when to use each parameter: query for search, campaign_id to scope or omit for all, top_k for result count. Also describes fallback behavior when embeddings unavailable, guiding on expected behavior.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/retospect/sortie-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server