List apps
list_appsThe user's apps in Agent C, with how many screenshots each has uploaded.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_appsThe user's apps in Agent C, with how many screenshots each has uploaded.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds useful return-value context by noting each app comes with its screenshot count, but says nothing about pagination, sorting, or result size for an open-world read.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence with no filler, front-loading the resource and then the included metric. Slightly under-specified rather than padded, which is the right failure mode for a zero-arg list tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description is the only source of return-value information, and it does disclose the key payload (apps plus per-app screenshot counts). However it omits ordering, pagination, and errors, which matters since the annotation marks this as an open-world read.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter surface for the description to compensate for. Baseline 4 applies; the description correctly avoids inventing parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Identifies the resource (the user's apps in Agent C) and a notable included field (screenshot count per app), but it is a noun phrase without a verb, so the act of listing is only implied by the tool name. It is distinguishable from siblings like add_app or upload_screenshots, but the scope (all apps? paginated?) is unstated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No indication of when to call this versus sibling tools such as get_set or design_set, and no prerequisites or context are given. The agent must infer usage entirely from the name and the resource description.
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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