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stflj2022

mcp-memvid

by stflj2022

memvid_quick_save

Automatically summarize and save the current conversation context, preserving it for cross-session memory and semantic search across all history.

Instructions

[AUTO] 快速保存当前对话上下文(自动生成摘要)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It mentions 'save' which implies persistence, and 'auto-generates summary' which suggests additional processing, but it does not specify side effects, permission requirements, reversibility, or what happens to existing data. The '[AUTO]' label is unexplained. This leaves significant unknowns for a mutation-like operation.

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 sentence with no redundancy or filler. It front-loads the core action ('quick save') and the unique feature ('auto-generates summary'). For a zero-parameter tool, this level of conciseness is appropriate, though it sacrifices completeness for brevity.

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?

Given the simplicity (0 params, no output schema), the description should still clarify the operation's impact and how it differs from memvid_save_context. It fails to explain what 'quick' means (e.g., no user confirmation?), whether the save is permanent, or any limitations. The tool's role in the broader workflow is unclear, especially with siblings like memvid_save_context and memvid_summary.

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?

The tool has zero parameters, so the baseline score is 4. The description adds no parameter-level detail, but since there are none, it does not need to. The schema is fully self-documenting for parameters (none exist), so this dimension is adequately covered.

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 a specific verb ('quick save') and resource ('current conversation context') with an auto-summary feature. However, it does not differentiate from the sibling tool memvid_save_context, which likely overlaps in functionality. The '[AUTO]' prefix hints at automation but adds ambiguity rather than clarity.

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?

No guidance is provided on when to use this tool versus memvid_save_context, memvid_summary, or other siblings. The description does not mention any prerequisites, typical use cases, or exclusions. An agent would have to infer when 'quick save' is appropriate without explicit direction.

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