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List collections

list_collections
Read-only

List your Volley collections, newest first. A collection is an ordered playbook of scenarios, each a saved diagram with a short scenario name and a note on when to use it, such as a recipe book of integration scenarios and the request pattern for each. Pass query to find collections whose title, description, scenario names or diagram titles contain every word.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoWords to look for.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds real behavioral context beyond that: results are ordered newest first and each item is a collection containing scenario names and notes. It omits any pagination or result-count limits, which is the only notable gap.

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 core action and ordering are front-loaded in the first sentence, and the query behavior is last. The middle sentence explaining what a collection is runs long with the "recipe book" analogy, which is illustrative but not strictly load-bearing.

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 read-only, single-optional-param tool with no output schema, the description covers ordering, item structure, and filter semantics, which is nearly everything an agent needs. Only pagination/limit behavior is unaddressed.

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% and the schema already says "Words to look for", so baseline would be 3. The description goes beyond it by specifying which fields are searched (title, description, scenario names, diagram titles) and the AND semantics ("contain every word"), which genuinely changes how an agent should phrase a query.

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 your Volley collections") plus ordering ("newest first"), and defines the domain object "collection" concretely as an ordered playbook of scenarios. It is clearly distinct from get_collection, but it never explicitly names that sibling to route between them.

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

Usage Guidelines3/5

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

Usage is implied (list all, optionally filtered) and the query parameter's behavior is described, but there is no explicit when-to-use/when-not guidance and no mention of get_collection or list_diagrams as alternatives. Adequate but leaves routing to inference.

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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