Skip to main content
Glama

memory_search

Searches memory documents within an active project by query, filters results by tags, path, and expiration, and limits output to specified max results. Part of Kratos-MCP’s memory system for AI coding tools.

Instructions

Search memory documents in the active project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_expiredNoInclude expired memories
kNoMax results to return
qYesSearch query
require_path_matchNoRequire path matching
tagsNoFilter by tags
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Search') but doesn't describe what 'memory documents' are, how results are ranked/returned, whether this is a read-only operation, or any performance/rate-limit considerations. The description is too minimal for a search tool with 5 parameters.

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 a single, efficient sentence with zero wasted words. It's appropriately sized for a search tool and front-loads the core purpose immediately.

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 search tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain what 'memory documents' are, how results are structured, or provide any behavioral context beyond the basic action. The conciseness comes at the cost of needed detail.

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?

The schema description coverage is 100%, so all parameters are documented in the schema. The description doesn't add any additional meaning about parameters beyond implying a search query is required. This meets the baseline for high schema coverage.

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 ('memory documents in the active project'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'concept_search' or 'memory_get_recent', which appear to be related search/retrieval operations.

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 like 'concept_search' or 'memory_get_recent'. It mentions the scope ('in the active project') but gives no explicit when/when-not instructions or prerequisites for usage.

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

Related 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/FoggyStorm/kratos-mcp'

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