Skip to main content
Glama
labyrinth-analytics

LoreConvo

Official

Get Recent Sessions

get_recent_sessions

Access summaries of past sessions to review completed work, with optional filters for project or skill.

Instructions

Get recent session summaries.

Use to see what work was done recently, optionally filtered by project or skill.

Args: limit: Max sessions to return (default 10) days_back: How far back to look (default 30 days) project: Filter to sessions in this project skill: Filter to sessions that used this skill

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
skillNo
projectNo
days_backNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It states it retrieves summaries, implying a read operation, but does not explicitly confirm no side effects, mention auth requirements, rate limits, or data freshness. The description is too minimal to fully cover the burden.

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

Conciseness4/5

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

The description is structured with a purpose sentence, a usage sentence, and a bullet-like list of parameters. It is concise and front-loaded, though the 'Args:' line is slightly redundant. Overall, efficient.

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?

While an output schema exists (not shown), the description lacks details about result ordering, pagination, or what 'summaries' entail (e.g., which fields). This leaves uncertainty about the exact output, making it moderately complete but not fully self-contained.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It lists all four parameters with clear, meaningful explanations: 'Max sessions to return,' 'How far back to look,' and filters for project/skill. This adds value beyond the schema's type definitions and defaults.

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 'Get recent session summaries' with a specific verb and resource. It also mentions optional filters by project or skill, distinguishing it from siblings like get_session (single session) or search_sessions (comprehensive search). However, it could be more explicit about the scope (e.g., 'summaries' vs full details).

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

Usage Guidelines3/5

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

The description says 'Use to see what work was done recently,' which provides basic context but no guidance on when not to use it or alternatives. Siblings like search_sessions or get_related_sessions are not mentioned, leaving the agent to infer appropriate 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

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/labyrinth-analytics/loreconvo'

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