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ajokunu

CapacitiesMCP

by ajokunu

capacities_list_spaces

Retrieve all Capacities spaces accessible to the user, providing their IDs, titles, and icons.

Instructions

List all Capacities spaces the user has access to. Returns space IDs, titles, and icons.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the disclosure burden. It explicitly states this is a read-only 'List' operation and discloses the return contents (space IDs, titles, icons). This is sufficient for a simple query tool, though it omits details like ordering or pagination, which are likely irrelevant for a list of spaces.

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?

The description is exactly two sentences, front-loaded with the action ('List'), and every word contributes meaning. There is no redundancy or fluff.

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?

For a parameterless list tool with no output schema, the description fully covers the purpose, scope, and return fields. It provides all essential context an agent needs to use it correctly.

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, so the baseline is 4. The schema is empty, and the description does not need to explain parameters. The description adds value by explaining what the tool returns.

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 uses a specific verb ('List') and identifies the exact resource ('all Capacities spaces the user has access to'). It clearly distinguishes this from sibling tools like capacities_get_space_info, which likely targets a single space, and capacities_search, which searches content.

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 clearly implies when to use this tool: when an overview of all spaces is needed. It does not explicitly mention alternatives or exclusions, but the context is clear enough for an agent to select it over siblings for listing all spaces.

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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