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hrmtz

hippocampus-mcp

by hrmtz

get_conversation_summary

Fetch conversation metadata and a compact sample of messages from the beginning and end, without retrieving the full transcript.

Instructions

Get conversation metadata and a compact bounded excerpt without the full transcript.

Returns title, platform, dates, msg_count, topic/cluster, and up to max_messages messages sampled from the start and end of the conversation.

Args: conv_id: conversation ID (from search_personal_memory or list_recent_conversations) max_messages: max messages to include; split between first half and last half (default 12)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conv_idYes
max_messagesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations, so description bears full burden. Describes read-like operation and return fields, but does not explicitly state it's read-only or discuss error cases, rate limits, or side effects. Adequate but not thorough.

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?

Concise two paragraphs, first summarizing purpose and return fields, second listing args. No unnecessary words. Could be more structured but effective.

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

Completeness4/5

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

Covers return fields, args, and usage context. Output schema exists, so return details are fine. Missing info on limits or error handling, but sufficient for typical use.

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 has zero description coverage, so description must compensate. It adds meaning to conv_id (source) and max_messages (split between start and end, default 12). This goes beyond schema information.

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 it gets metadata and a bounded excerpt, not full transcript, distinguishing from get_conversation. The verb 'Get' and resource 'conversation summary' are specific.

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?

Provides when to use (compact excerpt without full transcript) and where to get conv_id (search_personal_memory, list_recent_conversations). Lacks explicit when-not-to-use but contrast with siblings is clear.

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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