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UrbanDiver

Local DeepWiki MCP Server

by UrbanDiver

cancel_research

Cancel an active deep research session and save its checkpoint for later resumption using deep_research with resume_research_id.

Instructions

Cancel an active deep research session and save its checkpoint. The research can be resumed later using the deep_research tool with resume_research_id.

Requires: index_repository must be called first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repo_pathYesPath to the repository
research_idYesID of the research session to cancel (from list_research_checkpoints)
Behavior4/5

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

The description reveals that cancellation is non-destructive (saves a checkpoint) and requires a prior index_repository call. Annotations are neutral and not contradicted; the description adds meaningful behavioral context beyond them.

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?

Two sentences plus a requirement line; every piece is essential and clearly front-loaded with the primary action.

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?

Given the tool's simplicity (2 params, no output schema), the description covers the action, follow-up, and prerequisite, leaving no obvious gaps.

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?

Schema coverage is 100%, but the description adds value by specifying that research_id comes from list_research_checkpoints, linking to another tool. This extra context aids correct invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool cancels an active deep research session and saves a checkpoint, which is a specific and unique action among siblings like deep_research and resume_research.

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?

It explicitly states when to use the tool (to cancel an active session), how to resume later, and the prerequisite (index_repository must be called first). It lacks explicit negative conditions but provides sufficient context.

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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