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ResearchPilot

researchpilot_open_workspace

Read-onlyIdempotent

Open the interactive ResearchPilot workspace when the user wants to select a project, inspect method capability, review research context, or edit an instruction before continuing in the host AI conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that the workspace is interactive and is meant to precede continuation of the host conversation, which is useful. It does not disclose what actually happens on invocation — whether it blocks, returns control to the user, yields a workspace handle, or produces any output — which matters for a UI-launching tool with no output schema.

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?

A single front-loaded sentence with no filler; each clause contributes either the action or a trigger. The trailing list of user intents makes it slightly run-on but every item adds routing value.

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

Completeness5/5

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

With no parameters, no output schema, and annotations that already cover safety and idempotency, the only remaining burden is telling the agent when to invoke it — which the description does explicitly. Nothing essential to correct invocation is missing.

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 schema has zero parameters, so there is nothing for the description to disambiguate. Baseline 4 applies; the description correctly implies all context comes from the host conversation rather than arguments.

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?

States a specific verb and resource ('Open the interactive ResearchPilot workspace') and enumerates the concrete actions available inside it (select project, inspect capability, review context, edit instruction). It is clearly distinct from sibling read tools such as get_project_context or list_projects, though it never names a sibling to sharpen the boundary.

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?

Gives an explicit trigger condition — 'when the user wants to select a project, inspect method capability, review research context, or edit an instruction' — plus the framing 'before continuing in the host AI conversation'. That is clear usage context, but it does not say when NOT to use it or name the alternative tools (e.g., get_project_context) that cover overlapping needs programmatically.

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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