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List topics to resume (let the user pick)

mindmap_resume_options
Read-onlyIdempotent

Displays distinct candidate topics when a resume query matches multiple options, letting the user pick the right one to continue.

Instructions

When the user's description is ambiguous or could match SEVERAL different topics, list the distinct candidate topics — each with the workspace it lived in — so you can ASK the user which one to resume instead of guessing. Read-only: promotes nothing. After the user picks, call mindmap_resume with that choice's id.

Args:

  • query (string): the user's natural-language description

  • source (string): restrict to one origin tool (optional) Returns: up to 5 distinct candidate topics (id, title, workspace, source, last used).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWhat the user wants to resume
sourceNoRestrict to this origin tool
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds that it is read-only and promotes nothing, which is consistent. It also describes the return format (up to 5 candidates with fields), adding context beyond annotations.

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 well-structured: a purpose sentence, usage note, then bulleted args. It is concise without filler, though slightly longer than necessary.

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?

Given the tool's low complexity (2 params, no output schema), the description covers purpose, usage, parameters, and return format. It also links to the sibling tool mindmap_resume, providing a complete context for agent decision-making.

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%. The description rephrases parameter descriptions: 'query' as natural-language input and 'source' as optional origin restriction. This adds interpretative value over the schema-only descriptions.

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 lists distinct candidate topics for resumption when the user's description is ambiguous. It uses specific verbs ('list', 'ask') and resources ('topics'), and distinguishes from sibling tools like mindmap_resume and mindmap_list.

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 explicitly says when to use the tool: when the user's description is ambiguous or matches several topics. It provides a follow-up action to call mindmap_resume after user picks. No explicit exclusions, but clear guidance.

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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