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pocc

cloudflare-mcp

by pocc

list_ai_search_instances

List all AI Search instances in a Cloudflare account using the account ID. Retrieve deployment details for inventory and management.

Instructions

List AI Search instances for an account

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYesThe account ID

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only says 'List' and does not describe pagination, return shape, ordering, or whether the response includes only summaries or full instance metadata. It is not misleading, but it is minimal.

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 a single concise sentence with no filler. It front-loads the verb and resource, making the core purpose immediately clear.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter list tool, this is adequate, but it does not explain return values or pagination, and the absence of an output schema means the agent gets no further structural signal. With no usage guidance or sibling differentiation, the description leaves some decisions to inference.

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?

Schema coverage for the single parameter is 100%, so the schema already documents account_id. The description's phrase 'for an account' adds no new format or semantic detail beyond what the schema provides, so the baseline score 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?

The description clearly states a specific verb ('List') and resource ('AI Search instances') scoped to an account, so an agent can tell what it does. It does not explicitly contrast itself with close siblings like get_ai_search_instance, though the plural resource name makes the listing intent fairly unambiguous.

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?

The description gives no guidance on when to choose this tool over alternatives, such as get_ai_search_instance for a single instance or list_ai_search_items for item-level details. There is no mention of prerequisites, typical workflow, or when not to use it.

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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