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sevenboom77

ResearchTwin MCP Server

by sevenboom77

Get current research project status

get_project_status

Retrieve the complete persisted project status to identify the current stage, remaining risks, and suggested next steps, giving a direct answer to project progress questions.

Instructions

Retrieve the complete persisted project status when the user asks what stage the project is in, which risks remain, or what should happen next.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
project_statusYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. 'Retrieve' and 'persisted' signal a read operation and a stored data source, but the description does not explicitly state that it has no side effects or how it relates to update_project_status. It is minimally transparent but not misleading.

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?

A single sentence that front-loads the action and resource, then gives concrete usage triggers. There is no filler or redundant restatement of the title.

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?

For a zero-parameter read tool with an output schema, the description covers what is retrieved, where it comes from, and when to call it. The only small gap is the absence of an explicit no-side-effects or sibling-routing note, but the output schema handles return semantics.

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 and schema description coverage is 100%, so the schema fully captures parameter meaning. The baseline for a zero-parameter tool is 4, and the description does not need to add parameter-level detail.

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 and resource ('Retrieve the complete persisted project status') and lists concrete user intents (stage, risks, next steps). It is clear, but it does not explicitly differentiate itself from sibling tools like get_research_context or update_project_status.

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?

The description gives explicit trigger conditions: use it when the user asks what stage the project is in, which risks remain, or what should happen next. It does not name alternatives or say when not to use it, so it lacks full routing guidance.

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