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gamesme

chatlab-mcp

by gamesme

list_sessions

List all imported chat sessions with details like name, platform, message count, and time range. Choose text or JSON output.

Instructions

Lists all imported chat sessions with name, platform, message count, and time range. Returns plain text by default (set format=json for JSON).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoOutput format: text (default) or json
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It states it lists sessions and returns text by default, but does not mention sorting, pagination, read-only nature, or anything about side effects. The behavioral transparency is minimal.

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?

Two concise sentences: first covers purpose and output fields, second gives format usage. No filler words or redundancies. Well-structured for quick comprehension.

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?

Given the tool's simplicity and 17 siblings, the description adequately covers purpose and return fields. However, it lacks details on pagination or limits for large result sets, which could be important for an AI agent. Without an output schema, more context would be beneficial.

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?

Schema coverage is 100% with one parameter detailed. The description adds that text is the default format and how to request JSON, which echoes the schema description. This adds minor value beyond the schema, so a baseline of 3 is appropriate.

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?

The description clearly states the tool lists all imported chat sessions and specifies the fields returned (name, platform, message count, time range). This distinguishes it from sibling tools like get_session (single session) and get_session_summaries (summaries).

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 over alternatives. It only mentions the format parameter usage, but does not advise on scenarios for switching to other tools like deep_search_messages or get_full_conversation.

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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