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pocc

cloudflare-mcp

by pocc

get_cloudforce_one_dataset

Retrieve Cloudforce One dataset details using your account ID and dataset ID to access threat intelligence data.

Instructions

Get Cloudforce One dataset details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYesThe account ID
dataset_idYesThe dataset ID

Schema Changelog

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

  1. First observedv1.0.0

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. 'Get ... details' implies a read operation, but it does not state whether authorization is required, what response format is expected, or what 'details' actually include. No additional behavioral context is provided beyond the name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, which is concise, but it is under-specified rather than efficiently informative. It contains no structure, no examples, and no context that would help an agent use the tool correctly.

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

Completeness2/5

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

The tool has no output schema and no annotations, yet the description only says 'Get Cloudforce One dataset details'. It does not explain what a dataset is, what details are returned, how the dataset_id is used, or any relationships to sibling tools. An agent would likely need additional external knowledge to invoke this correctly with confidence.

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 description coverage is 100%, so both account_id and dataset_id are documented in the input schema. The description adds no extra meaning beyond what the schema already provides, which meets the baseline but does not enrich understanding of how the parameters relate to the returned dataset details.

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 uses a clear verb and resource: 'Get Cloudforce One dataset details'. It distinguishes the tool from related siblings like list_cloudforce_one_datasets by implying a single-dataset retrieval, but 'details' is vague and doesn't enumerate what fields or information are returned.

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?

No guidance is provided about when to use this tool versus alternatives. There is no mention that this should be used after listing datasets, nor any comparison to get_cloudforce_one_request, get_cloudforce_one_event, or get_cloudforce_one_query. The agent is left to infer usage from the name alone.

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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