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ClaudioLazaro

MCP Datadog Server

get_dashboard_public_invitation

Retrieve and view paginated invitation details for shared Datadog dashboards to manage access and monitor sharing status.

Instructions

Describe the invitations that exist for the given shared dashboard (paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions pagination, which is useful behavioral context, but doesn't disclose other critical traits like whether this is a read-only operation, authentication requirements, rate limits, error conditions, or what the output format looks like. For a tool with zero annotation coverage, this leaves significant gaps.

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, efficient sentence that front-loads the core purpose ('describe the invitations') and adds one key behavioral detail ('paginated'). There's no wasted verbiage or redundancy.

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?

Given the tool has no parameters (simplifying input) but lacks annotations and an output schema, the description is minimally adequate. It covers the basic purpose and pagination, but for a read operation that likely returns structured data, more context on output format or usage constraints would be helpful. It's complete enough for a simple list tool but could be improved.

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?

The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter information, and it appropriately doesn't mention any parameters. This meets the baseline expectation for a zero-parameter tool.

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 the verb ('describe') and resource ('invitations that exist for the given shared dashboard'), specifying it's about listing existing invitations. It doesn't explicitly differentiate from sibling tools like 'get_dashboard_public' or 'create_dashboard_public_invitation', but the purpose is 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?

No guidance is provided on when to use this tool versus alternatives. The description mentions pagination but doesn't specify prerequisites, constraints, or when to choose this over other invitation-related tools like 'create_dashboard_public_invitation' or 'delete_dashboard_public_invitation'.

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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