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Ably MCP by usefulapi

List an app's channel namespaces

ably_list_namespaces
Read-only

List the channel namespaces (channel-rule prefixes) configured for an app, e.g. persistence and push settings. Control API: GET /apps/{app_id}/namespaces.

Input Schema

NameRequiredDescriptionDefault
app_idYesApp id (from ably_list_apps).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is known. The description adds that this is a Control API call (GET /apps/{app_id}/namespaces), which is mild confirmatory context, but it says nothing about auth requirements, pagination, rate limits, or response shape.

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?

A single tight sentence plus an endpoint reference; the resource and scope are front-loaded and nothing is wasted.

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?

For a simple read-only list of one-parameter scope, the description conveys what is listed and gives a concrete example of namespace contents (persistence, push settings). Without an output schema it could say more about the returned structure, but it is sufficient to call the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter and schema coverage is 100%, with the schema itself pointing to ably_list_apps for the app_id. The description adds no syntax or format detail beyond the schema, so the baseline of 3 applies.

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 ('List the channel namespaces') and clarifies the domain term with 'channel-rule prefixes configured for an app'. That is enough for an agent to tell it apart from list_channels or list_rules, though it never names a sibling explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this versus alternatives such as ably_list_rules or ably_list_channels, and no stated prerequisites. The Control API endpoint reference implies context but does not tell the agent when this tool is the right choice.

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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