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sevenboom77

ResearchTwin MCP Server

by sevenboom77

List project knowledge

list_project_knowledge

List local project knowledge and sync status. Filter by project, type, or sync status to monitor research records and identify sync failures.

Instructions

List local project knowledge records and synchronization status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sync_statusNo
project_nameNo
knowledge_typeNo
include_contentNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
statusYes
knowledgeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden and does convey that this is a read-only listing of local records plus synchronization status, which is a meaningful behavior beyond the name. However, it does not disclose effects of filters, pagination behavior, or what happens when include_content is true.

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 a single front-loaded sentence with no filler, and every word contributes to the stated purpose. It is concise, though it achieves this by omitting parameter and usage detail.

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 tool with five optional filter parameters, no annotations, and zero schema description coverage, a one-line purpose statement is incomplete. The output schema covers return structure, but the description gives no information about filtering, defaults, or when the tool should be chosen.

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

Parameters1/5

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

Schema description coverage is 0% and the description names none of the five parameters. It adds no meaning over the input schema, so it fails to compensate for the lack of parameter descriptions.

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 uses a specific verb ('List') and a distinct resource ('local project knowledge records and synchronization status'). It clearly identifies the tool as a read-only listing over project knowledge, which separates it from sibling tools like prepare_project_knowledge and sync_project_knowledge_to_bailian, though it does not explicitly name any alternative.

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?

There is no guidance about when to use this tool instead of list_research_activities, prepare_project_knowledge, or sync_project_knowledge_to_bailian. No filters, preconditions, or exclusions are mentioned, so the agent must infer usage entirely from the tool name and schema.

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