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Cookie-Munch

@cookiemunch/mcp

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by Cookie-Munch

list_dsar

Retrieve a complete list of Data Subject Access Requests submitted to your organization, enabling you to manage and review privacy requests efficiently.

Instructions

List all Data Subject Access Requests for your organization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided; description only states the basic action. Does not disclose pagination, output format, or any side effects. For a tool with no annotations, this is minimal disclosure.

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?

Single sentence conveying action and scope with no wasted words.

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?

Description is adequate for a simple list tool with no parameters, but lacks output structure details (e.g., fields returned, pagination) which could help an agent without an output schema.

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?

Input schema has no parameters, so schema coverage is 100%. Description adds no parameter-level detail, but since there are none, baseline is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states verb 'List', resource 'Data Subject Access Requests', and scope 'for your organization'. It distinguishes from sibling tools like 'create_dsar' and 'advance_dsar'.

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 on when to use this tool vs alternatives. Does not mention that it lists all requests without filtering, or when one might use it before calling 'advance_dsar'.

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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