researchpilot_list_projects
List the authenticated user's active ResearchPilot projects, newest first. Use before choosing a project when the user's phrase such as 'my study' is ambiguous.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List the authenticated user's active ResearchPilot projects, newest first. Use before choosing a project when the user's phrase such as 'my study' is ambiguous.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds real behavioral detail beyond that: results are scoped to the authenticated user, restricted to active projects, and ordered newest first. It omits pagination or result-count limits, which is the only substantive gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with zero filler. The resource and scope come first, then the usage rule, so the most decision-relevant information is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, read-only list tool with full annotation coverage, the description supplies scope, ordering, and a usage trigger, which is close to everything an agent needs. The remaining gap is how many projects come back and how to page, which matters if the agent must choose among many.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter meaning to document and the schema is trivially complete. Baseline 4 applies; the description correctly adds no invented parameter detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('List ... ResearchPilot projects') and adds scope ('authenticated user's active', 'newest first'), which lets an agent distinguish it from get_project_context or research_registry. It does not explicitly name a sibling, so it falls just short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives a concrete trigger: call this before choosing a project when a user phrase like 'my study' is ambiguous. That is a clear when-to-use, but it stops short of naming the alternative to call once the ambiguity is resolved, and there is no when-not-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.